code: def find_clique_embedding(k, m, n=None, t=None, target_edges=None):
      import random
      _, nodes = k
      m, n, t, target_edges = _chimera_input(m, n, t, target_edges)
      if len(nodes) == 1:
          qubits = set().union(*target_edges)
          qubit = random.choice(tuple(qubits))
          embedding = [[qubit]]
      elif len(nodes) == 2:
          if not isinstance(target_edges, list):
              edges = list(target_edges)
          edge = edges[random.randrange(len(edges))]
          embedding = [[edge[0]], [edge[1]]]
      else:
          embedding = processor(target_edges, M=m, N=n, L=t).tightestNativeClique(len(nodes))
      if not embedding:
          raise ValueError("cannot find a K{} embedding for given Chimera lattice".format(k))
      return dict(zip(nodes, embedding))