I have written a large (to me) grammar using pyparsing to parse H248 message, which is a text format, with about 500 lines of pypasing constructs. I found the average performance is acceptable if I fe
Hey I have written a very simple parser with pyparsing which detects some tokens in a text and then replaces them with a different string. The problem is that right now my code only works with exact m
I am trying to parse text using pyparsing. My function is shown below. Firstly, I construct a list containing all the terms in my dictionary (a dictionary of commonly used terms in my website). Then I
I\'m using http://pyparsing.wikispaces.com/file/view/ebnf.py to convert my ebnf definition. ebnf def looks like this:
I\'m using a 2 processes Pool to parallel parse several log files, po = Pool(processes=2) pool_object = po.apply_async(log_parse, (hostgroup_sender_dir, hostname, host_depot_dir,synced_log, prev_last
I\'m trying to create a parser for the RCS file format, however, it experiences an infinite loop when trying to parse RCSid in the context of RCSadmin. Removing the offending line
i\'ve written this to parse my own .dotf file: def parseFromDOTF(file_path): comment = \"%\" + restOfLine
I\'m writing a parser for some marked-up data,开发者_如何学Go and I\'d like to get pyparsing to discard things like start and end tags in the final result, leaving just the data.
Suppose I\'m parsing the following line: The quick brown fox jumps over the lazy dog I\'d like to parse this as:
Here is the code: #!/usr/bin/env python import json import sys import os import parser sys.path.append(\'Z:\\_protomotion\\Prog\\HelperScripts\')