docstr: Catches errors when an iterator runs out of data.
docstr_tok: ["Catches","errors","when","an","iterator","runs","out","of","data","."]
code: def catch_stop_iteration(self):
      """Catches errors when an iterator runs out of data."""
      try:
          yield
      except (StopIteration, errors.OutOfRangeError):
          if self._inferred_steps is None:
              self._inferred_steps = self._current_iter
  
file_path: AmpliGraph/ampligraph/datasets/data_adapter.py
imports: import contextlib
  import tqdm
  from tensorflow.python.framework import errors
  from .graph_data_loader import GraphDataLoader, NoBackend
  from .graph_partitioner import AbstractGraphPartitioner
  from .partitioned_data_manager import get_partition_adapter
label_desc: Use image node_id 2 for calling the DataHandler obj's underlying member method code with example usage: obj.catch_stop_iteration() without return types