mirror of
https://github.com/NGSolve/netgen.git
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update test results
This commit is contained in:
parent
7962f0a1bb
commit
45bd63810a
@ -73,6 +73,13 @@ for bad1,bad2, f1, f2 in zip(data['badness'], data2['badness'], data['file'], da
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if bad2>0 and bad2<0.9*bad1:
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if bad2>0 and bad2<0.9*bad1:
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print(f"file {f1} got better: {bad1} -> {bad2}")
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print(f"file {f1} got better: {bad1} -> {bad2}")
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for bad1,bad2, f1, f2 in zip(data['#trigs'], data2['#trigs'], data['file'], data2['file']):
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assert f1==f2
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if bad2>0 and bad2>1.1*bad1:
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print(f"file {f1} got worse: {bad1} -> {bad2}")
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if bad2>0 and bad2<0.9*bad1:
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print(f"file {f1} got better: {bad1} -> {bad2}")
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n = len(data)+1
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n = len(data)+1
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fig,ax = plt.subplots(figsize=(10,7))
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fig,ax = plt.subplots(figsize=(10,7))
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for i,d in enumerate(['min trig angle','min tet angle','max trig angle','max tet angle']):
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for i,d in enumerate(['min trig angle','min tet angle','max trig angle','max tet angle']):
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@ -1590,8 +1590,8 @@
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0.0,
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0.0,
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0.0
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0.0
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],
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],
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"ne1d": 81,
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"ne1d": 80,
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"ne2d": 436,
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"ne2d": 412,
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"ne3d": 0,
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"ne3d": 0,
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"total_badness": 0.0
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"total_badness": 0.0
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@ -1606,7 +1606,7 @@
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0.0
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0.0
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],
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],
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"ne1d": 86,
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"ne1d": 86,
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"ne2d": 452,
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"ne2d": 440,
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"ne3d": 0,
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"ne3d": 0,
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"total_badness": 0.0
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"total_badness": 0.0
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@ -1621,7 +1621,7 @@
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0.0
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0.0
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],
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],
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"ne1d": 86,
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"ne1d": 86,
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"ne2d": 450,
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"ne2d": 464,
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"ne3d": 0,
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"ne3d": 0,
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"total_badness": 0.0
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"total_badness": 0.0
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@ -1635,8 +1635,8 @@
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0.0,
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0.0,
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0.0
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0.0
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],
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],
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"ne1d": 81,
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"ne1d": 80,
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"ne2d": 436,
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"ne2d": 412,
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"ne3d": 0,
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"ne3d": 0,
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"total_badness": 0.0
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"total_badness": 0.0
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@ -1650,8 +1650,8 @@
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0.0,
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0.0,
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0.0
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0.0
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],
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],
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"ne1d": 82,
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"ne1d": 83,
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"ne2d": 441,
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"ne2d": 453,
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"ne3d": 0,
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"ne3d": 0,
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"total_badness": 0.0
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"total_badness": 0.0
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@ -1665,8 +1665,8 @@
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0.0,
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0.0,
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0.0
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0.0
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],
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],
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"ne1d": 86,
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"ne1d": 84,
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"ne2d": 472,
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"ne2d": 462,
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"ne3d": 0,
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"ne3d": 0,
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"total_badness": 0.0
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"total_badness": 0.0
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@ -2790,8 +2790,38 @@
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0.0,
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0.0
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],
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],
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"ne1d": 31,
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"ne1d": 27,
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"ne2d": 97,
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"ne2d": 87,
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"ne3d": 0,
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"total_badness": 0.0
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},
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{
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"angles_tet": [
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0.0,
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0.0
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],
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"angles_trig": [
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0.0,
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0.0
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],
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"ne1d": 28,
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"ne2d": 80,
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"ne3d": 0,
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"total_badness": 0.0
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},
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{
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"angles_tet": [
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0.0,
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0.0
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],
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"angles_trig": [
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0.0,
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],
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"ne1d": 26,
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"ne2d": 78,
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"ne3d": 0,
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"ne3d": 0,
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"total_badness": 0.0
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"total_badness": 0.0
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@ -2806,7 +2836,7 @@
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0.0
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0.0
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],
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],
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"ne1d": 27,
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"ne1d": 27,
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"ne2d": 71,
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"ne2d": 87,
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"ne3d": 0,
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"ne3d": 0,
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"total_badness": 0.0
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"total_badness": 0.0
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@ -2820,8 +2850,8 @@
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],
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],
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"ne1d": 25,
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"ne1d": 36,
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"ne2d": 85,
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"ne2d": 150,
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"ne3d": 0,
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"ne3d": 0,
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"total_badness": 0.0
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"total_badness": 0.0
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@ -2835,38 +2865,8 @@
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],
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],
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"ne1d": 31,
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"ne1d": 42,
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"ne2d": 97,
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"ne2d": 246,
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"ne3d": 0,
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"total_badness": 0.0
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},
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{
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"angles_tet": [
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],
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"angles_trig": [
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],
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"ne1d": 41,
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"ne2d": 173,
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"ne3d": 0,
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"total_badness": 0.0
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},
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{
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"angles_tet": [
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],
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"angles_trig": [
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],
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"ne1d": 30,
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"ne2d": 108,
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"ne3d": 0,
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"ne3d": 0,
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"total_badness": 0.0
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"total_badness": 0.0
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@ -2883,7 +2883,7 @@
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0.0
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0.0
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],
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],
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"ne1d": 32,
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"ne1d": 32,
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"ne2d": 148,
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"ne2d": 142,
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"ne3d": 0,
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"ne3d": 0,
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"total_badness": 0.0
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"total_badness": 0.0
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@ -2913,7 +2913,7 @@
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0.0
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0.0
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],
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],
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"ne1d": 32,
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"ne1d": 32,
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"ne2d": 134,
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"ne2d": 126,
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"ne3d": 0,
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"ne3d": 0,
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"total_badness": 0.0
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"total_badness": 0.0
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@ -2928,7 +2928,7 @@
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0.0
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0.0
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],
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],
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"ne1d": 32,
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"ne1d": 32,
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"ne2d": 148,
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"ne2d": 142,
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"ne3d": 0,
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"ne3d": 0,
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"total_badness": 0.0
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"total_badness": 0.0
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@ -2942,8 +2942,8 @@
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],
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],
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"ne1d": 43,
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"ne1d": 42,
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"ne2d": 300,
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"ne2d": 326,
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"ne3d": 0,
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"ne3d": 0,
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"total_badness": 0.0
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"total_badness": 0.0
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@ -2957,8 +2957,8 @@
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],
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],
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"ne1d": 79,
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"ne1d": 76,
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"ne2d": 821,
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"ne2d": 811,
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"ne3d": 0,
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"ne3d": 0,
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"total_badness": 0.0
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"total_badness": 0.0
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@ -2975,7 +2975,7 @@
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0.0
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0.0
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],
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],
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"ne1d": 32,
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"ne1d": 32,
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"ne2d": 124,
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"ne2d": 118,
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"ne3d": 0,
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"ne3d": 0,
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"total_badness": 0.0
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"total_badness": 0.0
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0.0
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0.0
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],
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],
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"ne1d": 32,
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"ne1d": 32,
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"ne2d": 110,
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"ne2d": 102,
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"ne3d": 0,
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"ne3d": 0,
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"total_badness": 0.0
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"total_badness": 0.0
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0.0
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],
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],
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"ne1d": 32,
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"ne1d": 32,
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"ne2d": 124,
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"ne2d": 118,
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"ne3d": 0,
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"ne3d": 0,
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"total_badness": 0.0
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"total_badness": 0.0
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@ -3034,8 +3034,8 @@
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0.0,
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0.0
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],
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],
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"ne1d": 43,
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"ne1d": 42,
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"ne2d": 249,
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"ne2d": 274,
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"ne3d": 0,
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"ne3d": 0,
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"total_badness": 0.0
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"total_badness": 0.0
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0.0,
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],
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],
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"ne1d": 79,
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"ne1d": 76,
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"ne2d": 687,
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"ne2d": 672,
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"ne3d": 0,
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"ne3d": 0,
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
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"total_badness": 0.0
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"total_badness": 0.0
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