| module Jekyll | |
| class RenderImgTag < Liquid::Tag | |
| def initialize(tag_name, text, tokens) | |
| super | |
| @url , *@val= text.split(/ /) | |
| if @val.length > 0 | |
| @width , *@height = @val[0].split(/x/) | |
| end |
| """Lyndon.py | |
| Algorithms on strings and sequences based on Lyndon words. | |
| David Eppstein, October 2011.""" | |
| import unittest | |
| from Eratosthenes import MoebiusFunction | |
| def LengthLimitedLyndonWords(s,n): | |
| """Generate nonempty Lyndon words of length <= n over an s-symbol alphabet. | |
| The words are generated in lexicographic order, using an algorithm from |
(Originally posted on twitter, here incorporating responses)
As of version 2.6, there is provisional support for using pandoc using jupyter notebookss (.ipynb files) as input and output format.
Markdown to Jupyter Notebook, and back https://github.com/aaren/notedown
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