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https://github.com/Helsinki-NLP/OPUS-MT-train.git
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evaluate arbitrary models
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98
evaluate/Makefile
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98
evaluate/Makefile
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@ -0,0 +1,98 @@
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include ../Makefile.env
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include ../Makefile.config
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include ../Makefile.slurm
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SRC = en
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TRG = de
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LANGPAIR = ${SRC}-${TRG}
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MODELHOME = ../models/${LANGPAIR}
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MODELZIP = ${lastword ${sort ${wildcard ${MODELHOME}/*-20*.zip}}}
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MODELNAME = ${patsubst %.zip,%,${notdir ${MODELZIP}}}
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MODELURL = https://object.pouta.csc.fi/OPUS-MT-models/${LANGPAIR}
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TESTSETDIR = ../testsets/${LANGPAIR}
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TESTSETS = ${sort ${wildcard ${TESTSETDIR}/*.${SRC}.gz}}
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TESTSET = ${lastword ${TESTSETS}}
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WORKDIR = ${PWD}/${LANGPAIR}/${MODELNAME}
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TEST_PRE = ${WORKDIR}/${patsubst %.gz,%.pre,${notdir ${TESTSET}}}
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TEST_TRANS = ${TEST_PRE}.${TRG}
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TEST_EVAL = ${TEST_TRANS}.eval
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all: ${WORKDIR}/model/decoder.yml
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${MAKE} ${TEST_EVAL}
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${MAKE} cleanup
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.INTERMEDIATE: ${WORKDIR}/model/decoder.yml
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prepare-model: ${WORKDIR}/model/decoder.yml
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${WORKDIR}/model/decoder.yml:
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mkdir -p ${dir $@}
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ifneq (${wildcard ${MODELZIP}},)
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cp ${MODELZIP} ${dir $@}
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else
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cd ${dir $@} && wget ${MODELURL}/${notdir ${MODELZIP}}
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endif
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cd ${dir $@} && unzip -u *.zip
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SUBWORD_MODEL = ${filter-out ${WORKDIR}/model/source.tcmodel,${wildcard ${WORKDIR}/model/source.*}}
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ifneq (${wildcard ${WORKDIR}/model/preprocess.sh},)
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PREPROCESS = ${WORKDIR}/model/preprocess.sh ${SRC} ${SUBWORD_MODEL}
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else
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PREPROCESS = ${TOKENIZER}/replace-unicode-punctuation.perl |\
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${TOKENIZER}/remove-non-printing-char.perl |\
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${TOKENIZER}/normalize-punctuation.perl -l ${SRC} |\
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${TOKENIZER}/tokenizer.perl -a -l ${SRC} |\
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sed 's/ */ /g;s/^ *//g;s/ *$$//g' |\
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python3 ${SNMTPATH}/apply_bpe.py -c ${SUBWORD_MODEL}
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endif
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ifneq (${wildcard ${WORKDIR}/model/postprocess.sh},)
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POSTPROCESS = ${WORKDIR}/model/postprocess.sh
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else
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POSTPROCESS = sed 's/\@\@ //g;s/ \@\@//g;s/ \@\-\@ /-/g' |\
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$(TOKENIZER)/detokenizer.perl -l ${TRG}
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endif
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prepare-data: ${TEST_PRE}
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${TEST_PRE}: ${WORKDIR}/%.pre: ${TESTSETDIR}/%.gz ${WORKDIR}/model/decoder.yml
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zcat $< | ${PREPROCESS} > $@
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translate: ${TEST_TRANS}
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## translate test set
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${TEST_TRANS}: ${TEST_PRE} ${WORKDIR}/model/decoder.yml
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mkdir -p ${dir $@}
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cd ${dir ${word 2,$^}}; \
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${LOADMODS} && ${MARIAN}/marian-decoder -i $< \
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-c decoder.yml \
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-d ${MARIAN_GPUS} \
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${MARIAN_DECODER_FLAGS} |\
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${POSTPROCESS} |\
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sed 's/^ *//;s/ *$$//' > $@
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eval: ${TEST_EVAL}
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${TEST_EVAL}: ${TEST_TRANS}
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zcat ${patsubst %.${SRC}.gz,%.${TRG}.gz,${TESTSET}} > $@.ref
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cat $< | sacrebleu $@.ref > $@
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cat $< | sacrebleu --metrics=chrf --width=3 $@.ref >> $@
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rm -f $@.ref
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cleanup:
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rm -fr ${WORKDIR}/model
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@ -1,11 +1,26 @@
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#
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# fine-tune an existing model
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# set SRC and TRG to source and target language IDs
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# defaults: SRC=en TRG=de
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#
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# make news-tune-data ...... create tunig data from newstest sets
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# make all ................. tune and eval
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# make SRC=xx TRG=yy news-tune-data ...... create tuning data from newstest sets
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# make SRC=xx TRG=yy all ................. tune and eval
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#
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# other targets:
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#
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# make news-enfi ......... make tuned model for en-fi News
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# make goethe-defi ....... make model for Goethe Institute data
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# make data .............. pre-process train/dev data
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# make tune .............. fine-tune model
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# make translate ......... translate test set with fine-tuned model
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# make translate-baseline translate test set with baseline model
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# make eval .............. evaluate test set translation (fine-tuned)
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# make eval-baseline ..... evaluate test set translation (baseline)
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# make compare ........... put together source, reference translation and system output
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# make compare-baseline .. same as compare but with baseline translation
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#
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#
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# NOTE: this only works for SentencePiece models
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# NOTE: all this only works for SentencePiece models
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#
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# TODO
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# - download base models from ObjectStorage
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@ -51,7 +66,7 @@ MARIAN_EARLY_STOPPING = 5
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.PHONY: all
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all: ${TEST_SRC}.${TRG}.compare
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all: ${TEST_SRC}.${TRG}.compare ${TEST_SRC}.baseline.${TRG}.compare
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.PHONY: news-enfi
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@ -65,15 +80,15 @@ news-enfi:
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TEST_TRG=en-fi/news/test/newstest2019-enfi.fi \
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all
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.PHONY: goethe-fide
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goethe-ende:
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${MAKE} SRC=fi TRG=de MODEL=goethe \
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TRAIN_SRC=fi-de/goethe/train/goethe-institute-train.fi \
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TRAIN_TRG=fi-de/goethe/train/goethe-institute-train.de \
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DEV_SRC=fi-de/goethe/dev/goethe-institute-dev1.fi \
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DEV_TRG=fi-de/goethe/dev/goethe-institute-dev1.de \
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TEST_SRC=fi-de/goethe/test/goethe-institute-test1.fi \
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TEST_TRG=fi-de/goethe/test/goethe-institute-test1.de \
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.PHONY: goethe-defi
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goethe-defi:
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${MAKE} SRC=de TRG=fi MODEL=goethe \
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TRAIN_SRC=de-fi/goethe/train/goethe-institute-train.de \
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TRAIN_TRG=de-fi/goethe/train/goethe-institute-train.fi \
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DEV_SRC=de-fi/goethe/dev/goethe-institute-dev1.de \
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DEV_TRG=de-fi/goethe/dev/goethe-institute-dev1.fi \
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TEST_SRC=de-fi/goethe/test/goethe-institute-test1.de \
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TEST_TRG=de-fi/goethe/test/goethe-institute-test1.fi \
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all
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@ -196,11 +211,27 @@ ${TEST_SRC}.${TRG}.gz: ${TEST_SRC}.pre.gz ${TUNED_MODEL}.npz.best-perplexity.npz
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gzip -c > $@
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.PHONY: translate-baseline
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translate-baseline: ${TEST_SRC}.baseline.${TRG}.gz
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.PHONY: eval
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## translate test set
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${TEST_SRC}.baseline.${TRG}.gz: ${TEST_SRC}.pre.gz ${LANGPAIR}/${BASEMODELNAME}/decoder.yml
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mkdir -p ${dir $@}
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cd ${LANGPAIR}/${BASEMODELNAME}; \
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${LOADMODS} && ${MARIAN}/marian-decoder -i ${PWD}/$< \
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-c decoder.yml \
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-d ${MARIAN_GPUS} \
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${MARIAN_DECODER_FLAGS} |\
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sed 's/ //g;s/▁/ /g' | sed 's/^ *//;s/ *$$//' |\
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gzip -c > ${PWD}/$@
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.PHONY: eval eval-baseline
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eval: ${TEST_SRC}.${TRG}.eval
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eval-baseline: ${TEST_SRC}.baseline.${TRG}.eval
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${TEST_SRC}.${TRG}.eval: ${TEST_SRC}.${TRG}.gz ${TEST_TRG}.gz
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${TEST_SRC}.${TRG}.eval ${TEST_SRC}.baseline.${TRG}.eval: %.eval: %.gz ${TEST_TRG}.gz
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zcat ${TEST_TRG} > $@.ref
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zcat $< | sacrebleu $@.ref > $@
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zcat $< | sacrebleu --metrics=chrf --width=3 $@.ref >> $@
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@ -208,10 +239,11 @@ ${TEST_SRC}.${TRG}.eval: ${TEST_SRC}.${TRG}.gz ${TEST_TRG}.gz
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.PHONY: compare
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.PHONY: compare compare-baseline
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compare: ${TEST_SRC}.${TRG}.compare
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compare-baseline: ${TEST_SRC}.baseline.${TRG}.compare
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${TEST_SRC}.${TRG}.compare: ${TEST_SRC}.${TRG}.eval
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${TEST_SRC}.${TRG}.compare ${TEST_SRC}.baseline.${TRG}.compare: %.compare: %.eval
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zcat ${TEST_SRC}.gz > $@.1
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zcat ${TEST_TRG}.gz > $@.2
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zcat ${<:.eval=.gz} > $@.3
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