code: def test_category_loss_defaults(config, dataset):
      train_and_evaluate(config, dataset)
  
imports: import logging
  from collections import deque
  from pprint import pprint
  from typing import Any, Dict, Tuple
  import pandas
  import pytest
  import yaml
  from ludwig.api import LudwigModel
  from ludwig.config_sampling.explore_schema import combine_configs, ConfigOption, explore_properties
  from ludwig.config_validation.validation import get_schema
  from ludwig.types import ModelConfigDict
  from .configs import COMBINER_TYPE_TO_COMBINE_FN_MAP, ECD_CONFIG_SECTION_TO_CONFIG, FEATURE_TYPE_TO_CONFIG_FOR_DECODER_LOSS, FEATURE_TYPE_TO_CONFIG_FOR_ENCODER_PREPROCESSING
label_desc: Use image node_id 20 for calling a global function with example usage: test_category_loss_defaults(config, dataset) without return types