class_docstr: Represents an immutable set of features to be calculated for a single dataframe, and their
  dependencies.
class_docstr_tok: ["Represents","an","immutable","set","of","features","to","be","calculated","for","a","single","dataframe",",","and","their","dependencies","."]
code: def _dependent_uses_full_dataframe(self, feature):
      for d in self.feature_dependents[feature.unique_name()]:
          if (
              isinstance(d, TransformFeature)
              and d.primitive.uses_full_dataframe
          ):
              return True
      return False
  
file_path: featuretools/featuretools/computational_backends/feature_set.py
imports: import itertools
  import logging
  from collections import defaultdict
  from featuretools.entityset.relationship import RelationshipPath
  from featuretools.feature_base import AggregationFeature, FeatureOutputSlice, GroupByTransformFeature, TransformFeature
  from featuretools.utils import Trie
label_desc: Use image node_id 8 for calling the FeatureSet obj's underlying member method code with example usage: obj._dependent_uses_full_dataframe(feature) and returns: False, True