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While the rst-converter-service is able to convert many of the hilda output files generated using feng-hirst-rst-parser but it is giving me memory issue for some. This is what I see:
{"error":"<class 'discoursegraphs.readwrite.rst.hilda.HILDARSTTree'> can't handle input file 'A02.txt'. Got: ","traceback":"Traceback (most recent call last):\n File \"app.py\", line 111, in post\n tree = read_function(temp_inputfile.name)\n File \"/usr/lib/python2.7/site-packages/discoursegraphs/readwrite/rst/hilda.py\", line 33, in __init__\n self.hildafile_tree = self.hildastr2hildatree(hilda_str)\n File \"/usr/lib/python2.7/site-packages/discoursegraphs/readwrite/rst/hilda.py\", line 56, in hildastr2hildatree\n return eval(parented_tree_str)\nMemoryError\n"}
The text was updated successfully, but these errors were encountered:
arne-cl
changed the title
Unable to convert hilda output file from feng-hirst-rst-parser
MemoryError: Unable to parse large HILDA output files
Jun 1, 2020
While the rst-converter-service is able to convert many of the hilda output files generated using feng-hirst-rst-parser but it is giving me memory issue for some. This is what I see:
{"error":"<class 'discoursegraphs.readwrite.rst.hilda.HILDARSTTree'> can't handle input file 'A02.txt'. Got: ","traceback":"Traceback (most recent call last):\n File \"app.py\", line 111, in post\n tree = read_function(temp_inputfile.name)\n File \"/usr/lib/python2.7/site-packages/discoursegraphs/readwrite/rst/hilda.py\", line 33, in __init__\n self.hildafile_tree = self.hildastr2hildatree(hilda_str)\n File \"/usr/lib/python2.7/site-packages/discoursegraphs/readwrite/rst/hilda.py\", line 56, in hildastr2hildatree\n return eval(parented_tree_str)\nMemoryError\n"}
The text was updated successfully, but these errors were encountered: