Sign Up

Sign Up to our social questions and Answers Engine to ask questions, answer people’s questions, and connect with other people.

Have an account? Sign In

Have an account? Sign In Now

Sign In

Login to our social questions & Answers Engine to ask questions answer people’s questions & connect with other people.

Sign Up Here

Forgot Password?

Don't have account, Sign Up Here

Forgot Password

Lost your password? Please enter your email address. You will receive a link and will create a new password via email.

Have an account? Sign In Now

You must login to ask a question.

Forgot Password?

Need An Account, Sign Up Here

Please briefly explain why you feel this question should be reported.

Please briefly explain why you feel this answer should be reported.

Please briefly explain why you feel this user should be reported.

Sign InSign Up

The Archive Base

The Archive Base Logo The Archive Base Logo

The Archive Base Navigation

  • Home
  • SEARCH
  • About Us
  • Blog
  • Contact Us
Search
Ask A Question

Mobile menu

Close
Ask a Question
  • Home
  • Add group
  • Groups page
  • Feed
  • User Profile
  • Communities
  • Questions
    • New Questions
    • Trending Questions
    • Must read Questions
    • Hot Questions
  • Polls
  • Tags
  • Badges
  • Buy Points
  • Users
  • Help
  • Buy Theme
  • SEARCH
Home/ Questions/Q 6366435
In Process

The Archive Base Latest Questions

Editorial Team
  • 0
Editorial Team
Asked: May 25, 20262026-05-25T00:25:15+00:00 2026-05-25T00:25:15+00:00

I’m attempting to tokenize the following input in Python: text = ‘This @example@ is

  • 0

I’m attempting to tokenize the following input in Python:

text = 'This @example@ is "neither":/defn/neither complete[1] *nor* trite, *though _simple_*.'

I would like to produce something like the following while avoiding use of the regular expressions:

tokens = [
        ('text', 'This '),
        ('enter', 'code'),
            ('text', "example")
        ('exit', None),
        ('text', ' is '),
        ('enter', 'a'),
            ('text', "neither"),
            ('href', "/defn/neither"),
        ('exit', None),
        ('text', ' complete'),
        ('enter', 'footnote'),
            ('id', 1),
        ('exit', None),
        ('text', ' '),
        ('enter', 'strong'),
            ('text', 'nor'),
        ('exit', None),
        ('text', ' trite, '),
        ('enter', 'strong'),
                ('text', 'though '),
                ('enter', 'em'),
                    ('text', 'simple'),
                ('exit', None),
        ('exit', None),
        ('text', '.')
    ]

Pretend the above is being produced by a generator. My current implementation works, though the code is somewhat hideous and not easily extended to support links.

Any assistance would be greatly appreciated.

Updated to change the desired syntax from a complex nested list structure to a simple stream of tuples. Indentation for us humans. Formatting within the text of a link is OK. Here is a simple parser that generates the lexing result I’m looking for, but still doesn’t handle links or footnotes.

  • 1 1 Answer
  • 0 Views
  • 0 Followers
  • 0
Share
  • Facebook
  • Report

Leave an answer
Cancel reply

You must login to add an answer.

Forgot Password?

Need An Account, Sign Up Here

1 Answer

  • Voted
  • Oldest
  • Recent
  • Random
  1. Editorial Team
    Editorial Team
    2026-05-25T00:25:16+00:00Added an answer on May 25, 2026 at 12:25 am

    Well, here’s a more complete parser with sufficient extensibility to do whatever I may need in the future. It only took three hours. It’s not terribly speedy, but generally the output of the class of parser I’m writing is heavily cached anyway. Even with this tokenizer and parser in place, my full engine still clocks in at < 75% of the SLoC of the default python-textile renderer while remaining somewhat faster. All without regular expressions.

    Footnote parsing remains, but that’s minor compared to link parsing. The output (as of this posting) is:

    tokens = [
        ('text', 'This '),
        ('enter', 'code'),
            ('text', 'example'),
        ('exit', None),
        ('text', ' is '),
        ('enter', 'a'),
            ('text', 'neither'),
            ('attr', ('href', '/defn/neither')),
        ('exit', None),
        ('text', ' complete[1] '),
        ('enter', 'strong'),
            ('text', 'nor'),
        ('exit', None),
        ('text', ' trite, '),
        ('enter', 'strong'),
            ('text', 'though '),
            ('enter', 'em'),
                ('text', 'simple'),
            ('exit', None),
        ('exit', None),
        ('text', '.')
    ]
    
    • 0
    • Reply
    • Share
      Share
      • Share on Facebook
      • Share on Twitter
      • Share on LinkedIn
      • Share on WhatsApp
      • Report

Sidebar

Related Questions

For some reason, after submitting a string like this Jack’s Spindle from a text
I'm parsing an RSS feed that has an &#8217; in it. SimpleXML turns this
link Im having trouble converting the html entites into html characters, (&# 8217;) i
this is what i have right now Drawing an RSS feed into the php,
I'm using v2.0 of ClassTextile.php, with the following call: $testimonial_text = $textile->TextileRestricted($_POST['testimonial']); ... and
I have a bunch of posts stored in text files formatted in yaml/textile (from
I have this code: - (void)parser:(NSXMLParser *)parser foundCDATA:(NSData *)CDATABlock { NSString *someString = [[NSString
I have some data like this: 1 2 3 4 5 9 2 6
I need to clean up various Word 'smart' characters in user input, including but
I have a text area in my form which accepts all possible characters from

Explore

  • Home
  • Add group
  • Groups page
  • Communities
  • Questions
    • New Questions
    • Trending Questions
    • Must read Questions
    • Hot Questions
  • Polls
  • Tags
  • Badges
  • Users
  • Help
  • SEARCH

Footer

© 2021 The Archive Base. All Rights Reserved
With Love by The Archive Base

Insert/edit link

Enter the destination URL

Or link to existing content

    No search term specified. Showing recent items. Search or use up and down arrow keys to select an item.