code: def _get_cover_for_column(
      df: pandas.DataFrame, column: Target, index_column: str = "index"
  ) -> Set[int]:
      return set(
          df.groupby(by=column)
          .agg({index_column: "min"})[index_column]
          .values
      )
  
imports: import logging
  import typing
  from abc import abstractmethod
  from typing import Collection, Optional, Sequence, Set, Tuple, Type, Union
  import numpy
  import pandas
  import torch
  from class_resolver.api import ClassResolver, HintOrType
  from ..constants import COLUMN_LABELS
  from ..typing import LABEL_HEAD, LABEL_RELATION, LABEL_TAIL, MappedTriples, Target, TorchRandomHint
  from ..utils import ensure_torch_random_state
label_desc: Use image node_id 2 for calling a global function with example usage: _get_cover_for_column(df, column, index_column) and returns: set