metric stats accumulation
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@ -5,6 +5,7 @@ RUN apt install -y git
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RUN apt install -y gcc
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RUN apt install -y gcc
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RUN gcc --version
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RUN gcc --version
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RUN apt install -y build-essential
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RUN apt install -y build-essential
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RUN apt install -y moreutils
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RUN python --version
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RUN python --version
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RUN git clone https://github.com/usnistgov/SCTK.git
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RUN git clone https://github.com/usnistgov/SCTK.git
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WORKDIR SCTK
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WORKDIR SCTK
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1
Jenkinsfile
vendored
1
Jenkinsfile
vendored
@ -5,6 +5,7 @@ pipeline {
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steps {
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steps {
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checkout([$class: 'GitSCM', branches: [[name: '*/master']], doGenerateSubmoduleConfigurations: false, extensions: [], submoduleCfg: [], userRemoteConfigs: [[credentialsId: '8dbda16d-2863-4ee8-8662-3886a4862575', url: 'https://git.wmi.amu.edu.pl/dawjur/dawjur-mlworkshops']]])
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checkout([$class: 'GitSCM', branches: [[name: '*/master']], doGenerateSubmoduleConfigurations: false, extensions: [], submoduleCfg: [], userRemoteConfigs: [[credentialsId: '8dbda16d-2863-4ee8-8662-3886a4862575', url: 'https://git.wmi.amu.edu.pl/dawjur/dawjur-mlworkshops']]])
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copyArtifacts filter: 'wikiniews_results.tsv', fingerprintArtifacts: true, projectName: 'ASR-eval', selector: lastSuccessful()
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copyArtifacts filter: 'wikiniews_results.tsv', fingerprintArtifacts: true, projectName: 'ASR-eval', selector: lastSuccessful()
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copyArtifacts excludes: 'wikinews_results.tsv', fingerprintArtifacts: true, projectName: 'dawjur-metrics', selector: lastSuccessful()
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}
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}
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}
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}
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stage('Count lines') {
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stage('Count lines') {
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@ -3,9 +3,13 @@ cut -f2 wikiniews_results.tsv | awk 'BEGIN{FS=OFS="\t"}{print $0,"(sp1_"NR")"}'
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cut -f3 wikiniews_results.tsv | awk 'BEGIN{FS=OFS="\t"}{print $0,"(sp1_"NR")"}' > ref.trn
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cut -f3 wikiniews_results.tsv | awk 'BEGIN{FS=OFS="\t"}{print $0,"(sp1_"NR")"}' > ref.trn
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sclite -f 0 -r ref.trn trn -h hyp.trn trn -e utf-8 -i rm -o sum stdout | grep "Sum/Avg" | python -c "import sys; import re; print('\t'.join(re.findall(r'(\d+\.\d+)', sys.stdin.read())[-2:]))" > wer_srr.txt
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sclite -f 0 -r ref.trn trn -h hyp.trn trn -e utf-8 -i rm -o sum stdout | grep "Sum/Avg" | python -c "import sys; import re; print('\t'.join(re.findall(r'(\d+\.\d+)', sys.stdin.read())[-2:]))" > wer_srr.txt
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cut -f1 wer_srr.txt > wer_total.txt
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cut -f1 wer_srr.txt > wer_total.txt
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cut -f2 wer_srr.txt > srr.txt
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cut -f2 wer_srr.txt >> srr.txt
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sclite -f 0 -r ref.trn trn -h hyp.trn trn -e utf-8 -i rm -o pra stdout | grep "Scores:" | sed 's/Scores: (#C #S #D #I) // ' | awk '{ c=$1; s=$2; d=$3; i=$4; print ($s+$d+$i)/($s+$d+$c)}' > wer_all.txt
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sclite -f 0 -r ref.trn trn -h hyp.trn trn -e utf-8 -i rm -o pra stdout | grep "Scores:" | sed 's/Scores: (#C #S #D #I) // ' | awk '{ c=$1; s=$2; d=$3; i=$4; print ($s+$d+$i)/($s+$d+$c)}' > wer_all.txt
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awk '{ sum += $1; n++ } END { print sum / n; }' < wer_all.txt > wer.txt
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awk '{ sum += $1; n++ } END { print sum / n; }' < wer_all.txt >> wer.txt
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paste wikiniews_results.tsv wer.txt > wikinews_results.tsv
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paste wikiniews_results.tsv wer.txt > wikinews_results.tsv
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rm wikiniews_results.tsv
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rm wikiniews_results.tsv
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tail -n20 wer.txt | sponge wer.txt
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tail -n20 srr.txt | sponge srr.txt
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