code: def test_render_config(tmpdir):
      """Test rendering a full config from a partial user config."""
      user_config_path = os.path.join(tmpdir, "config.yaml")
      input_features = [
          number_feature(),
          number_feature(),
          category_feature(encoder={"vocab_size": 3}),
          category_feature(encoder={"vocab_size": 3}),
      ]
      output_features = [category_feature(decoder={"vocab_size": 3})]
  
      user_config = {
          INPUT_FEATURES: input_features,
          OUTPUT_FEATURES: output_features,
      }
  
      with open(user_config_path, "w") as f:
          yaml.dump(user_config, f)
  
      output_config_path = os.path.join(tmpdir, "rendered.yaml")
      _run_ludwig(
          "render_config",
          config=user_config_path,
          output=output_config_path,
      )
  
      rendered_config = load_yaml(output_config_path)
      assert len(rendered_config[INPUT_FEATURES]) == len(
          user_config[INPUT_FEATURES]
      )
      assert len(rendered_config[OUTPUT_FEATURES]) == len(
          user_config[OUTPUT_FEATURES]
      )
      assert TRAINER in rendered_config
      assert COMBINER in rendered_config
      assert PREPROCESSING in rendered_config
  
imports: import json
  import os
  import os.path
  import pathlib
  import shutil
  import subprocess
  from typing import List, Set
  import pytest
  import yaml
  from ludwig.constants import BATCH_SIZE, COMBINER, EVAL_BATCH_SIZE, INPUT_FEATURES, NAME, OUTPUT_FEATURES, PREPROCESSING, TRAINER
  from ludwig.types import FeatureConfigDict
  from ludwig.utils.data_utils import load_yaml
  from tests.integration_tests.utils import category_feature, generate_data, number_feature, sequence_feature
label_desc: Use image node_id 22 for calling a global function with example usage: test_render_config(tmpdir) without return types