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 _generate_features_dummy(X: DataFrame):
      X_out = DataFrame(index=X.index)
      X_out["__dummy__"] = 0
      return X_out
  
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 5 for calling the DummyFeatureGenerator obj's underlying member method code with example usage: obj._generate_features_dummy(X) and returns: X_out