class_docstr: DmlCorpus implements a collection of articles. It is initialized via a DmlConfig
  object, which holds information about where to look for the articles and how
  to process them.
  
  Apart from being a regular corpus (bag-of-words iterable with a `len()` method),
  DmlCorpus has methods for building a dictionary (mapping between words and
  their ids).
code: def loadDictionary(fname):
      result = {}
      for lineNo, line in enumerate(open(fname)):
          pair = line[:-1].split("\t")
          if len(pair) != 2:
              continue
          wordId, word = pair
          result[int(wordId)] = word
      return result
  
imports: import logging
  import os.path
  from gensim import interfaces, matutils
  import dictionary
label_desc: Use image node_id 7 for calling the DmlCorpus obj's underlying member method code with example usage: obj.loadDictionary(fname) and returns: result