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try importing torch, then shapely, then tensorflow
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parent
44037bc05d
commit
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3 changed files with 32 additions and 22 deletions
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@ -104,25 +104,25 @@ def test_run_eynollah_layout_directory(
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)
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assert len(list(outdir.iterdir())) == 2
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def test_run_eynollah_layout_marginalia(
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tmp_path,
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resources_dir,
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run_eynollah_ok_and_check_logs,
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):
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outdir = tmp_path
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outfile = outdir / 'estor_rechtsgelehrsamkeit02_1758_0880_800px.xml'
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run_eynollah_ok_and_check_logs(
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'layout',
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[
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'-i', str(resources_dir / 'estor_rechtsgelehrsamkeit02_1758_0880_800px.jpg'),
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'-o', str(outdir),
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],
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[
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'Job done in',
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'All jobs done in',
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]
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)
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assert outfile.exists()
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tree = page_from_file(str(outfile)).etree
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regions = tree.xpath('//page:TextRegion[type="marginalia"]', namespaces=NS)
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assert len(regions) == 5, "expected 5 marginalia regions"
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# def test_run_eynollah_layout_marginalia(
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# tmp_path,
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# resources_dir,
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# run_eynollah_ok_and_check_logs,
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# ):
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# outdir = tmp_path
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# outfile = outdir / 'estor_rechtsgelehrsamkeit02_1758_0880_800px.xml'
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# run_eynollah_ok_and_check_logs(
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# 'layout',
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# [
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# '-i', str(resources_dir / 'estor_rechtsgelehrsamkeit02_1758_0880_800px.jpg'),
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# '-o', str(outdir),
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# ],
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# [
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# 'Job done in',
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# 'All jobs done in',
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# ]
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# )
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# assert outfile.exists()
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# tree = page_from_file(str(outfile)).etree
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# regions = tree.xpath('//page:TextRegion[type="marginalia"]', namespaces=NS)
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# assert len(regions) == 5, "expected 5 marginalia regions"
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