code: def make_N_from_L_C(L, C):
      nodes = L.keys()
      colors = C.keys()
      return {
          (node, color): sum(1 for v in L[node] if v in C[color])
          for node in nodes
          for color in colors
      }
  
file_path: networkx/networkx/algorithms/coloring/equitable_coloring.py
imports: from collections import defaultdict
  import networkx
label_desc: Use image node_id 4 for calling a global function with example usage: make_N_from_L_C(L, C) and returns: unknown