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 _fit_transform(self, X: DataFrame, **kwargs) -> (DataFrame, dict):
      X_out = self._transform(X)
      return X_out, dict()
  
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 2 for calling the DummyFeatureGenerator obj's underlying member method code with example usage: obj._fit_transform(X) and returns: X_out,  dict