# HG changeset patch
# User Christian Urban
# Date 1505396923 -3600
# Node ID f1cde0b6cc3027d110c12617c5c94f0ab3a095b6
# Parent 51b47eb732f925f3f67444efeae444f760a92b82
updated
diff -r 51b47eb732f9 -r f1cde0b6cc30 bsc-projects-17.html
--- a/bsc-projects-17.html Thu Sep 14 12:51:22 2017 +0100
+++ b/bsc-projects-17.html Thu Sep 14 14:48:43 2017 +0100
@@ -129,7 +129,8 @@
So I know they are worth their money. Still, it would be interesting to actually compare their results
with my simple rainy-afternoon matcher and potentially “blow away” the regular expression matchers
in Python, Ruby and Java (and possibly in Scala too). The application would be to implement a fast lexer for
- programming languages, or improve the network traffic analysers in the tools Snort and Bro???
+ programming languages, or improve the network traffic analysers in the tools Snort and
+ Bro.
@@ -207,7 +208,7 @@
very optimised subsets of JavaScript that can be used for this purpose:
one is asm.js and the other is
emscripten. Since
- last year there is even the official Webassembly???
+ last year there is even the official Webassembly
There is a tutorial for emscripten
and an impressive demo which runs the
Unreal Engine 3