#! /bin/bash
# Example of running range: simply give it the train and test file names.
# It expects to have data preprocessed like this.
# This is simply an example so I'm using the same file twice, but please try with others.

MyRoot="../../../trunk/"
cd ..

if [ ! -d /tmp/$USER ]
then
mkdir /tmp/$USER
fi

# Set up data to demonstrate usage
Data="/tmp/$USER/nasa93_all.csv.numeric"
Train="/tmp/$USER/train.csv"
Test="/tmp/$USER/test.csv"
echo -n "" > $Train
echo -n "" > $Test
echo "Preprocessing data file"
gawk -f $MyRoot"baker_lc/convertcsv.awk" Method="COC81" Style="precise" $MyRoot"data/nasa93.csv" > $Data
echo "Preprocessed data stored at "$Data
N=$(gawk 'END{print NR}' $Data)
i=$(gawk -v X=$RANDOM -v N=$N 'BEGIN{print int(N*(X/32767))}')
gawk -v X=$i -v Train=$Train -v Test=$Test '{if(NR==X){print $0 >> Test}else{print $0 >> Train}}' $Data
echo "Training file generated and stored at "$Train
echo "Test file generated and stored at "$Test
echo "This may take a few minutes because COCOMOST has to run N+1 times and there are a lot of I/O operations to make the training files."
echo ""

# Run range
#./range $Train $Test
Seed=$RANDOM
echo "Seed="$Seed
./cocomostRange $Train $Test $Seed