class_docstr: A container for the nodes and labelled edges of a dependency structure.
docstr: :param filename: a name of a file in Malt-TAB format
  :param zero_based: nodes in the input file are numbered starting from 0
      rather than 1 (as produced by, e.g., zpar)
  :param str cell_separator: the cell separator. If not provided, cells
      are split by whitespace.
  :param str top_relation_label: the label by which the top relation is
      identified, for examlple, `ROOT`, `null` or `TOP`.
  
  :return: a list of DependencyGraphs
docstr_tok: [":","param","filename",":","a","name","of","a","file","in","Malt-TAB","format",":","param","zero_based",":","nodes","in","the","input","file","are","numbered","starting","from","0","rather","than","1","(","as","produced","by",",","e.g.",",","zpar",")",":","param","str","cell_separator",":","the","cell","separator",".","If","not","provided",",","cells","are","split","by","whitespace",".",":","param","str","top_relation_label",":","the","label","by","which","the","top","relation","is","identified",",","for","examlple",",","`","ROOT","`",",","`","null","`","or","`","TOP","`",".",":","return",":","a","list","of","DependencyGraphs"]
code: def load(
      filename,
      zero_based=False,
      cell_separator=None,
      top_relation_label="ROOT",
  ):
      """
      :param filename: a name of a file in Malt-TAB format
      :param zero_based: nodes in the input file are numbered starting from 0
          rather than 1 (as produced by, e.g., zpar)
      :param str cell_separator: the cell separator. If not provided, cells
          are split by whitespace.
      :param str top_relation_label: the label by which the top relation is
          identified, for examlple, `ROOT`, `null` or `TOP`.
  
      :return: a list of DependencyGraphs
  
      """
      with open(filename) as infile:
          return [
              DependencyGraph(
                  tree_str,
                  zero_based=zero_based,
                  cell_separator=cell_separator,
                  top_relation_label=top_relation_label,
              )
              for tree_str in infile.read().split("\n\n")
          ]
  
imports: import subprocess
  import warnings
  from collections import defaultdict
  from itertools import chain
  from pprint import pformat
  from nltk.internals import find_binary
  from nltk.tree import Tree
label_desc: Use image node_id 12 for calling the DependencyGraph obj's underlying member method code with example usage: obj.load(filename, zero_based, cell_separator, top_relation_label) and returns: unknown