def make_network_graph(compact, expression_names, lookup_names):
nodes = set()<EOL>edges = defaultdict(set) <EOL>var_name_dict = dict()<EOL>if expression_names:<EOL><INDENT>for e in graphviz_items: <EOL><INDENT>if e in expression_names:<EOL><INDENT>var_name_dict[e.vindex] = expression_names[e]<EOL><DEDENT><DEDENT><DEDENT>rnn_bldr_name = defaultdict(lambda: chr(len(rnn_bldr_name)+ord('<STR_LIT:A>')))<EOL>def vidx2str(vidx): return '<STR_LIT>' % ('<STR_LIT:N>', vidx)<EOL>for e in graphviz_items: <EOL><INDENT>vidx = e.vindex<EOL>f_name = e.name<EOL>args = e.args<EOL>output_dim = e.dim<EOL>input_dim = None <EOL>children = set()<EOL>node_type = '<STR_LIT>'<EOL>if f_name == '<STR_LIT>':<EOL><INDENT>[_dim] = args<EOL>arg_strs = []<EOL><DEDENT>elif f_name == '<STR_LIT>':<EOL><INDENT>[_v] = args<EOL>arg_strs = []<EOL><DEDENT>elif f_name == '<STR_LIT>':<EOL><INDENT>[_d1, _d2] = args<EOL>arg_strs = []<EOL><DEDENT>elif f_name == '<STR_LIT>':<EOL><INDENT>[_v, _d] = args<EOL>arg_strs = []<EOL><DEDENT>elif f_name == '<STR_LIT>':<EOL><INDENT>[_dim] = args<EOL>arg_strs = []<EOL>if compact:<EOL><INDENT>if vidx in var_name_dict:<EOL><INDENT>f_name = var_name_dict[vidx]<EOL><DEDENT><DEDENT>node_type = '<STR_LIT>'<EOL><DEDENT>elif f_name == '<STR_LIT>':<EOL><INDENT>[_dim] = args<EOL>arg_strs = []<EOL>if compact:<EOL><INDENT>if vidx in var_name_dict:<EOL><INDENT>f_name = var_name_dict[vidx]<EOL><DEDENT><DEDENT>node_type = '<STR_LIT>'<EOL><DEDENT>elif f_name == '<STR_LIT>':<EOL><INDENT>[p, idx, update] = args<EOL>[_dim] = p.args<EOL>if vidx in var_name_dict:<EOL><INDENT>name = var_name_dict[vidx]<EOL><DEDENT>else:<EOL><INDENT>name = None<EOL><DEDENT>item_name = None<EOL>if lookup_names and p in expression_names:<EOL><INDENT>param_name = expression_names[p]<EOL>if param_name in lookup_names:<EOL><INDENT>item_name = '<STR_LIT>' % (lookup_names[param_name][idx],)<EOL><DEDENT><DEDENT>if compact:<EOL><INDENT>if item_name is not None:<EOL><INDENT>f_name = item_name<EOL><DEDENT>elif name is not None:<EOL><INDENT>f_name = '<STR_LIT>' % (name, idx)<EOL><DEDENT>else:<EOL><INDENT>f_name = '<STR_LIT>' % (idx)<EOL><DEDENT>arg_strs = []<EOL><DEDENT>else:<EOL><INDENT>arg_strs = [var_name_dict.get(p.vindex, '<STR_LIT>' % (p.vindex))]<EOL>if item_name is not None:<EOL><INDENT>arg_strs.append(item_name)<EOL><DEDENT>vocab_size = _dim[<NUM_LIT:0>]<EOL>arg_strs.extend(['<STR_LIT:%s>' % (idx), '<STR_LIT:%s>' % (vocab_size), '<STR_LIT>' if update else '<STR_LIT>'])<EOL><DEDENT><DEDENT>elif f_name == '<STR_LIT>':<EOL><INDENT>[arg, input_dim, bldr_type, bldr_num, state_idx] = args <EOL>rnn_name = rnn_bldr_name[bldr_num]<EOL>if bldr_type.endswith('<STR_LIT>'):<EOL><INDENT>bldr_type[:-len('<STR_LIT>')]<EOL><DEDENT>f_name = '<STR_LIT>' % (bldr_type, rnn_name, state_idx)<EOL>if not compact:<EOL><INDENT>i = arg.vindex<EOL>s = var_name_dict.get(i, '<STR_LIT>' % (i))<EOL>arg_strs = [s]<EOL><DEDENT>else:<EOL><INDENT>arg_strs = []<EOL><DEDENT>children.add(vidx2str(arg.vindex))<EOL>node_type = '<STR_LIT>'<EOL><DEDENT>else:<EOL><INDENT>arg_strs = []<EOL>for arg in args:<EOL><INDENT>if isinstance(arg, Expression):<EOL><INDENT>if not compact:<EOL><INDENT>i = arg.vindex<EOL>s = var_name_dict.get(i, '<STR_LIT>' % (i))<EOL>arg_strs.append(s)<EOL><DEDENT>children.add(vidx2str(arg.vindex))<EOL><DEDENT>elif isinstance(arg, float) and compact:<EOL><INDENT>s = re.sub('<STR_LIT>', '<STR_LIT>', '<STR_LIT>' % (arg))<EOL>if s == '<STR_LIT>':<EOL><INDENT>s = str(arg)<EOL><DEDENT>arg_strs.append(s)<EOL><DEDENT>else:<EOL><INDENT>arg_strs.append(str(arg))<EOL>
Make a network graph, represented as of nodes and a set of edges.  
  The nodes are represented as tuples: (name: string, input_dim: Dim, label: string, output_dim: Dim, children: set[name], features: string)
#   The edges are represented as dict of children to sets of parents: (child: string) -> [(parent: string, features: string)]