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 _transform(self, X: DataFrame) -> DataFrame:
      return self._generate_features_dummy(X)
  
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 3 for calling the DummyFeatureGenerator obj's underlying member method code with example usage: obj._transform(X) and returns: self