code: def _set_fine_search_range(
      coarse_search_range: list,
      fine_search_size: int,
      min_entropy_ind: np.intp,
  ) -> np.ndarray:
      fine_search_range = np.array([])
      if min_entropy_ind != 0:
          fine_search_range = np.append(
              np.linspace(
                  coarse_search_range[min_entropy_ind - 1],
                  coarse_search_range[min_entropy_ind],
                  fine_search_size,
                  endpoint=False,
              ),
              fine_search_range,
          )
      if min_entropy_ind != len(coarse_search_range) - 1:
          fine_search_range = np.append(
              fine_search_range,
              np.linspace(
                  coarse_search_range[min_entropy_ind],
                  coarse_search_range[min_entropy_ind + 1],
                  fine_search_size + 1,
                  endpoint=True,
              ),
          )
      return fine_search_range
  
file_path: cleanlab/cleanlab/internal/multiannotator_utils.py
imports: from cleanlab.typing import LabelLike
  from typing import Optional, Tuple
  import warnings
  import numpy
  import pandas
  from cleanlab.internal.validation import assert_valid_class_labels
  from cleanlab.internal.numerics import softmax
  from cleanlab.internal.util import get_num_classes, value_counts
label_desc: Use image node_id 7 for calling a global function with example usage: _set_fine_search_range(coarse_search_range, fine_search_size, min_entropy_ind) and returns: fine_search_range