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Fix test
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964d636e27
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@ -102,7 +102,7 @@ def test_tokenization(sented_doc):
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gold = {"sent_starts": [t.sent_start for t in sented_doc]}
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example = Example.from_dict(sented_doc, gold)
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scores = scorer.score([example])
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assert scores["token_acc"] == 1.0
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assert scores["token_acc"] == 100.0
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nlp = English()
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example.predicted = Doc(
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@ -123,7 +123,7 @@ def test_sents(sented_doc):
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gold = {"sent_starts": [t.sent_start for t in sented_doc]}
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example = Example.from_dict(sented_doc, gold)
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scores = scorer.score([example])
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assert scores["sents_f"] == 1.0
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assert scores["sents_f"] == 100.0
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# One sentence start is moved
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gold["sent_starts"][3] = 0
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@ -149,14 +149,14 @@ def test_las_per_type(en_vocab):
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examples.append(example)
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results = scorer.score(examples)
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assert results["dep_uas"] == 1.0
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assert results["dep_las"] == 1.0
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assert results["dep_las_per_type"]["nsubj"]["p"] == 1.0
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assert results["dep_las_per_type"]["nsubj"]["r"] == 1.0
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assert results["dep_las_per_type"]["nsubj"]["f"] == 1.0
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assert results["dep_las_per_type"]["compound"]["p"] == 1.0
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assert results["dep_las_per_type"]["compound"]["r"] == 1.0
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assert results["dep_las_per_type"]["compound"]["f"] == 1.0
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assert results["dep_uas"] == 100.0
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assert results["dep_las"] == 100.0
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assert results["dep_las_per_type"]["nsubj"]["p"] == 100.0
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assert results["dep_las_per_type"]["nsubj"]["r"] == 100.0
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assert results["dep_las_per_type"]["nsubj"]["f"] == 100.0
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assert results["dep_las_per_type"]["compound"]["p"] == 100.0
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assert results["dep_las_per_type"]["compound"]["r"] == 100.0
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assert results["dep_las_per_type"]["compound"]["f"] == 100.0
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# One dep is incorrect in Doc
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scorer = Scorer()
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@ -174,13 +174,13 @@ def test_las_per_type(en_vocab):
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examples.append(example)
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results = scorer.score(examples)
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assert results["dep_uas"] == 1.0
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assert results["dep_uas"] == 100.0
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assert_almost_equal(results["dep_las"], 0.9090909)
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assert results["dep_las_per_type"]["nsubj"]["p"] == 0
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assert results["dep_las_per_type"]["nsubj"]["r"] == 0
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assert results["dep_las_per_type"]["nsubj"]["f"] == 0
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assert_almost_equal(results["dep_las_per_type"]["compound"]["p"], 0.666666666)
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assert results["dep_las_per_type"]["compound"]["r"] == 1.0
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assert results["dep_las_per_type"]["compound"]["r"] == 100.0
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assert results["dep_las_per_type"]["compound"]["f"] == 0.8
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@ -202,12 +202,12 @@ def test_ner_per_type(en_vocab):
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examples.append(example)
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results = scorer.score(examples)
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assert results["ents_p"] == 1.0
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assert results["ents_r"] == 1.0
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assert results["ents_f"] == 1.0
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assert results["ents_per_type"]["CARDINAL"]["p"] == 1.0
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assert results["ents_per_type"]["CARDINAL"]["r"] == 1.0
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assert results["ents_per_type"]["CARDINAL"]["f"] == 1.0
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assert results["ents_p"] == 100.0
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assert results["ents_r"] == 100.0
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assert results["ents_f"] == 100.0
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assert results["ents_per_type"]["CARDINAL"]["p"] == 100.0
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assert results["ents_per_type"]["CARDINAL"]["r"] == 100.0
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assert results["ents_per_type"]["CARDINAL"]["f"] == 100.0
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# Doc has one missing and one extra entity
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# Entity type MONEY is not present in Doc
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@ -233,15 +233,15 @@ def test_ner_per_type(en_vocab):
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assert "GPE" in results["ents_per_type"]
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assert "MONEY" in results["ents_per_type"]
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assert "ORG" in results["ents_per_type"]
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assert results["ents_per_type"]["GPE"]["p"] == 1.0
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assert results["ents_per_type"]["GPE"]["r"] == 1.0
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assert results["ents_per_type"]["GPE"]["f"] == 1.0
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assert results["ents_per_type"]["GPE"]["p"] == 100.0
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assert results["ents_per_type"]["GPE"]["r"] == 100.0
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assert results["ents_per_type"]["GPE"]["f"] == 100.0
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assert results["ents_per_type"]["MONEY"]["p"] == 0
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assert results["ents_per_type"]["MONEY"]["r"] == 0
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assert results["ents_per_type"]["MONEY"]["f"] == 0
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assert results["ents_per_type"]["ORG"]["p"] == 0.5
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assert results["ents_per_type"]["ORG"]["r"] == 1.0
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assert results["ents_per_type"]["ORG"]["f"] == approx(0.6666666)
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assert results["ents_per_type"]["ORG"]["p"] == 50.0
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assert results["ents_per_type"]["ORG"]["r"] == 100.0
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assert results["ents_per_type"]["ORG"]["f"] == approx(66.66666)
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def test_tag_score(tagged_doc):
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@ -256,10 +256,10 @@ def test_tag_score(tagged_doc):
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example = Example.from_dict(tagged_doc, gold)
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results = scorer.score([example])
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assert results["tag_acc"] == 1.0
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assert results["pos_acc"] == 1.0
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assert results["morph_acc"] == 1.0
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assert results["morph_per_feat"]["NounType"]["f"] == 1.0
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assert results["tag_acc"] == 100.0
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assert results["pos_acc"] == 100.0
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assert results["morph_acc"] == 100.0
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assert results["morph_per_feat"]["NounType"]["f"] == 100.0
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# Gold annotation is modified
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scorer = Scorer()
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@ -282,9 +282,9 @@ def test_tag_score(tagged_doc):
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assert results["tag_acc"] == 0.9
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assert results["pos_acc"] == 0.9
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assert results["morph_acc"] == approx(0.8)
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assert results["morph_per_feat"]["NounType"]["f"] == 1.0
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assert results["morph_per_feat"]["NounType"]["f"] == 100.0
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assert results["morph_per_feat"]["Poss"]["f"] == 0.0
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assert results["morph_per_feat"]["Number"]["f"] == approx(0.72727272)
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assert results["morph_per_feat"]["Number"]["f"] == approx(72.727272)
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def test_roc_auc_score():
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