code: def test_config_object_to_config_dict():
      config = {
          "input_features": [
              {"name": "number_feature", "type": "number"},
          ],
          "output_features": [
              {
                  "name": "number_output_feature",
                  "type": "number",
              },
          ],
      }
  
      config_object = ModelConfig.from_dict(config)
      config_dict = config_object.to_dict()
  
      for section in config_sections:
          assert section in config_dict
      assert len(config_dict[DEFAULTS]) == 13
      assert set(config_dict[INPUT_FEATURES][0].keys()) == {
          NAME,
          ACTIVE,
          TYPE,
          COLUMN,
          PROC_COLUMN,
          TIED,
          PREPROCESSING,
          ENCODER,
      }
      assert set(config_dict[OUTPUT_FEATURES][0].keys()) == {
          NAME,
          ACTIVE,
          TYPE,
          COLUMN,
          PROC_COLUMN,
          PREPROCESSING,
          DECODER,
          LOSS,
          REDUCE_INPUT,
          DEPENDENCIES,
          INPUT_SIZE,
          CLIP,
          REDUCE_DEPENDENCIES,
          NUM_CLASSES,
          DEFAULT_VALIDATION_METRIC,
      }
  
imports: import os
  from tempfile import TemporaryDirectory
  from typing import Any, Dict, Optional, Union
  import pytest
  import yaml
  from ludwig.constants import ACTIVE, BASE_MODEL, CLIP, COLUMN, COMBINER, DECODER, DEFAULT_VALIDATION_METRIC, DEFAULTS, DEPENDENCIES, ENCODER, HYPEROPT, INPUT_FEATURES, INPUT_SIZE, LOSS, MODEL_ECD, MODEL_GBM, MODEL_LLM, MODEL_TYPE, NAME, NUM_CLASSES, OPTIMIZER, OUTPUT_FEATURES, PREPROCESSING, PROC_COLUMN, REDUCE_DEPENDENCIES, REDUCE_INPUT, TIED, TRAINER, TYPE
  from ludwig.error import ConfigValidationError
  from ludwig.schema.decoders.base import ClassifierConfig
  from ludwig.schema.encoders.text_encoders import BERTConfig
  from ludwig.schema.features.augmentation.image import RandomBlurConfig, RandomRotateConfig
  from ludwig.schema.features.image_feature import AUGMENTATION_DEFAULT_OPERATIONS
  from ludwig.schema.features.number_feature import NumberOutputFeatureConfig
  from ludwig.schema.features.text_feature import TextOutputFeatureConfig
  from ludwig.schema.llms.quantization import QuantizationConfig
  from ludwig.schema.model_config import ModelConfig
  from ludwig.schema.utils import BaseMarshmallowConfig, convert_submodules
label_desc: Use image node_id 3 for calling a global function with example usage: test_config_object_to_config_dict() without return types