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Experiment to compare in-browser JS to other interpreters (and then some)
C Python JavaScript Java Perl R
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output
.gitignore
JavaStats.java
Makefile
README
c-qsort.c
c-quickSort.c
js-test-rsort.html
js-test-sort.html
mongo.js
nodejs-stats.js
perl-stats.pl
python27-numpy.py
python27.py
python30.py
r-stats.r
summarize

README

This is suite of tests for checking speed of number crushing in
server-side interpreted programs, server-side compiled programs and
in browser-running JavaScript.

Pre-requisites to run all tests:
* Perl 5
* Python 2.7
* Python 3.0
* node.js
* R and Rscript
* Mongo shell (needs server running somewhere)
* Java compiler and runtime
* gcc and standard C libs
* make program


To re-generate data remove dat files from output dir and issue make
command. To generate summary.csv run summary R script. Summary will
pick up any sub-directories and *.dat files in them. Copy-paste
results from browser to appropriate locations to include them into
summary.csv (which eventually will be sorted by "Total Time" column)

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