code: def get_candidate_pairs(
      *,
      a: scipy.sparse.spmatrix,
      b: Optional[scipy.sparse.spmatrix] = None,
      threshold: float,
      no_self: bool = True,
  ) -> Set[Tuple[int, int]]:
      """Find pairs of sets with Jaccard similarity above threshold using :func:`jaccard_similarity_scipy`.
  
      :param a:
          The first set.
      :param b:
          The second set. If not specified, reuse the first set.
      :param threshold:
          The threshold above which the similarity has to be.
      :param no_self:
          Whether to exclude (i, i) pairs.
  
      :return:
          A set of index pairs.
      """
      if b is None:
          b = a
      # duplicates
      sim = jaccard_similarity_scipy(a, b)
      if no_self:
          # we are not interested in self-similarity
          num = sim.shape[0]
          idx = numpy.arange(num)
          sim[idx, idx] = 0
      return set(zip(*(sim >= threshold).nonzero()))
  
imports: import logging
  from typing import Collection, Iterable, List, Mapping, Optional, Set, Tuple, TypeVar, Union, cast
  import click
  import numpy
  import scipy.sparse
  import torch
  from pykeen.datasets.base import EagerDataset
  from pykeen.triples.triples_factory import CoreTriplesFactory, TriplesFactory, cat_triples
  from pykeen.typing import MappedTriples
  from pykeen.utils import compact_mapping, get_connected_components
label_desc: Use image node_id 6 for calling a global function with example usage: get_candidate_pairs() and returns: set