class_docstr: Ignores all input features and returns a single int feature with all 0 values.
  Useful for testing purposes or to avoid crashes if no features were given.
code: def is_valid_metadata_in(self, feature_metadata_in: FeatureMetadata):
      return True
  
file_path: autogluon/features/src/autogluon/features/generators/dummy.py
imports: import logging
  from pandas import DataFrame
  from autogluon.common.features.feature_metadata import FeatureMetadata
  from .abstract import AbstractFeatureGenerator
label_desc: Use image node_id 6 for calling the DummyFeatureGenerator obj's underlying member method code with example usage: obj.is_valid_metadata_in(feature_metadata_in) and returns: True