Package: asciidoc Version: 8.6.9-3 Severity: normal Hallo,
1. When using asciidoc the -b (backend) option works, but when using a2x using this -b option doesnt work, although according to the man page of a2x it should. in the same man page there is is reference to a2x-backend.py, but this file doesn't seem to be part of the asciidoc package: $ dpkg -L asciidoc | grep back /usr/share/doc/asciidoc/doc/latex-backend.txt /usr/share/doc/asciidoc/examples/website/latex-backend.txt So there is either something missing or the man page is wrong, i guess something is missing, since: $ a2x -b slidy 02_statistics_for_laboratory_animal_science.asc a2x: ERROR: missing slidy backend (the same error for the common latex backend) 2. (possibly related to the backend option?) According to the asciidoc documentation online, http://asciidoc.org/chunked/ch25.html one should be able to use -a latexmath (also tried with -a latexmathml :) to insert math into latex and xhtml11 and html5, (it does not say slidy, though that's html as well..), running a asciidoc file with math in it, doesn't produce the math symbols unfortunately: $ asciidoc -b html5 -a latexmath 02_statistics_for_laboratory_animal_science.asc $ asciidoc -b xhtml11 -a latexmath 02_statistics_for_laboratory_animal_science.asc $ asciidoc -b slidy -a latexmathml 02_statistics_for_laboratory_animal_science.asc $ a2x -f xhtml -a latexmathml 02_statistics_for_laboratory_animal_science.asc So either the deb version, the asciidoc docu online or osi layer 8 is the problem here? Some asciidoc code u can use to reproduce: " = Statistics for laboratory animal science :author: Wim Bertels //next line commented out or not doesnt seem to matter //:backend: slidy :max-width: 45em :data-uri: :icons: :toc: :numbered: :website: http://projectwerk.khleuven.be/projects/proefdierkunde_stat :encoding: UTF-8 :lang: en :copyright: Wim Bertels //probleem met slidy en math, later bekijken This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. == Central limit theorem == Central limit theorem The distribution of a sample average will always follow the normal distribution if n is big enough * Powerfull? * What is the variable? latexmath:[\bar{X} \sim N(\mu,\sigma^{2}/n)] " mvg, Wim -- System Information: Debian Release: 8.3 APT prefers stable-updates APT policy: (500, 'stable-updates'), (500, 'stable') Architecture: amd64 (x86_64) Kernel: Linux 3.16.0-4-amd64 (SMP w/8 CPU cores) Locale: LANG=nl_BE.utf8, LC_CTYPE=nl_BE.utf8 (charmap=UTF-8) Shell: /bin/sh linked to /bin/dash Init: systemd (via /run/systemd/system) Versions of packages asciidoc depends on: ii python 2.7.9-1 pn python:any <none> Versions of packages asciidoc recommends: ii dblatex 0.3.5-2 ii docbook-utils 0.6.14-3 ii libxml2-utils 2.9.1+dfsg1-5+deb8u1 ii xmlto 0.0.25-2 Versions of packages asciidoc suggests: ii source-highlight 3.1.7-1+b1 pn vim-addon-manager <none> -- no debconf information
