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export # export variables to subshells
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PIP_INSTALL = pip3 install
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GIT_CLONE = git clone
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PYTHON = python3
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PYTEST_ARGS = -W 'ignore::DeprecationWarning' -W 'ignore::FutureWarning'
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MODEL = qurator-gt4histocr-1.0
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# BEGIN-EVAL makefile-parser --make-help Makefile
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help:
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@echo ""
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@echo " Targets"
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@echo ""
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@echo " install Install ocrd_calamari"
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@echo " $(MODEL) Get Calamari model (from SBB)"
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@echo " actevedef_718448162 Download example data"
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@echo " deps-test Install testing python deps via pip"
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@echo " repo/assets Clone OCR-D/assets to ./repo/assets"
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@echo " test/assets Setup test assets"
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@echo " assets-clean Remove symlinks in test/assets"
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@echo " test Run unit tests"
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@echo " coverage Run unit tests and determine test coverage"
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@echo ""
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@echo " Variables"
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@echo ""
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@echo " PYTHON '$(PYTHON)'"
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@echo " PIP_INSTALL '$(PIP_INSTALL)'"
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@echo " GIT_CLONE '$(GIT_CLONE)'"
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@echo " MODEL '$(MODEL)'"
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# END-EVAL
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# Install ocrd_calamari
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install:
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$(PIP_INSTALL) .
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# Get GT4HistOCR Calamari model (from SBB)
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$(MODEL):
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ocrd resmgr download ocrd-calamari-recognize $@
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# Download example data (not used currently)
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actevedef_718448162:
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wget https://qurator-data.de/examples/actevedef_718448162.zip \
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&& unzip actevedef_718448162.zip \
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&& rm actevedef_718448162.zip
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#
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# Assets and Tests
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#
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# Install testing python deps via pip
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deps-test:
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$(PIP_INSTALL) -r requirements-test.txt
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deps-test-ubuntu: deps-test
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apt-get install -y make git curl wget imagemagick
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# Clone OCR-D/assets to ./repo/assets
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repo/assets:
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mkdir -p $(dir $@)
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git clone https://github.com/OCR-D/assets "$@"
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# Setup test assets
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test/assets: repo/assets
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mkdir -p $@
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cp -r -t $@ repo/assets/data/*
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# Remove symlinks in test/assets
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assets-clean:
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rm -rf test/assets
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# Run unit tests
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test: test/assets $(MODEL)
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# declare -p HTTP_PROXY
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$(PYTHON) -m pytest --continue-on-collection-errors test $(PYTEST_ARGS)
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# Run unit tests and determine test coverage
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coverage: test/assets $(MODEL)
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coverage erase
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make test PYTHON="coverage run"
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coverage report
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coverage html
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.PHONY: install assets-clean deps-test test coverage $(MODEL)
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