class_docstr: EPGM class with converter methods to edgelist, adjacency matrix, etc.
class_docstr_tok: ["EPGM","class","with","converter","methods","to","edgelist",",","adjacency","matrix",",","etc","."]
docstr: update progress bar
docstr_tok: ["update","progress","bar"]
code: def _progressbarUpdate(self, pbar, step, arg, i):
      """update progress bar"""
      if (i + 1) % step == 0:
          pbar.update(i + 1)
      return arg
  
imports: from collections import OrderedDict
  import networkx
  from networkx.readwrite import json_graph
  import os
  import json
  import uuid
  import numpy
  import scipy.sparse
  import multiprocessing
  from multiprocessing import Pool
  from functools import partial
  from time import sleep
label_desc: Use image node_id 2 for calling the EPGM obj's underlying member method code with example usage: obj._progressbarUpdate(pbar, step, arg, i) and returns: arg