code: def have_slots(fa_slots, ch_slots):
      if len(fa_slots) > 2 and len(ch_slots) > 2:
          return True
      matches = []
      for i, s1 in enumerate(fa_slots):
          a1, c1, h1 = s1
          for j, s2 in enumerate(ch_slots):
              a2, c2, h2 = s2
              if a1 == a2 and c1 == c2 and (a1 != "C" or h1 + h2 >= 4):
                  matches.append((i, j))
  
      if len(matches) == 0:
          return False
  
      fa_match, ch_match = list(zip(*matches))
      if (
          len(set(fa_match)) == 1 and 1 < len(fa_slots) <= 2
      ):  # never remove atom from ring
          fa_slots.pop(fa_match[0])
      if (
          len(set(ch_match)) == 1 and 1 < len(ch_slots) <= 2
      ):  # never remove atom from ring
          ch_slots.pop(ch_match[0])
  
      return True
  
file_path: dgl/examples/pytorch/jtnn/jtnn/jtnn_dec.py
imports: import dgl.function
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from dgl import batch, dfs_labeled_edges_generator, line_graph
  from .chemutils import enum_assemble_nx, get_mol
  from .mol_tree_nx import DGLMolTree
  from .nnutils import cuda, GRUUpdate, tocpu
label_desc: Use image node_id 3 for calling a global function with example usage: have_slots(fa_slots, ch_slots) and returns: True, True, False