Hi folks,
At the following address you will find a repository of MSE files derived from the Qualitas Corpus:
The purpose of this repository is providing a common and easy to setup dataset for (moose-based) analyses.
The files can be freely downloaded and used.
The repository has the following structure:
- QualitasCorpus
- yyyymmdd(e | r): qualitas corpus with MSE files
- extractor: tool used to generate MSE files (verveineJ SVN rev. 192)
- mse: generated MSE files
- scripts: shell script for setting up the analysis data folder
How to setup the analysis data folder ?
2. chmod +x
3a. ./fetchQCr.sh for downloading and uncompressing Qualitas Corpus "recent release" + MSE files
3b. ./fetchQCe.sh for downloading and uncompressing Qualitas Corpus "evolution release" + MSE files
How to run an analysis ?
Use a script like this>
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cog="path/to/CogVM"
moose="path/to/moose.image"
smalltalk="path/to/SmallTalkCode.st"
for m in $(find . -name 'model.mse'); do
src=${m/model.mse/src}
ln -s $m model.mse # link to model file
ln -s $src src # link to src file
$cog -nodisplay $moose $smalltalk
rm model.mse
rm src
done
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where SmallTalkCode.st is something like>
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| stream model |
model := MooseModel new.
stream:= MultiByteFileStream newFrom:(FileStream readOnlyFileNamed: 'model.mse').
model name:(FileDirectory baseNameFor: stream localName).
model importFromMSEStream: stream.
model size > 0 ifTrue: [ model install ].
model rootFolder:'src'.
"… analysis ..."
WorldState addDeferredUIMessage: [ SmalltalkImage current snapshot: false andQuit: true ].
-----------------------------------------------
Andrea