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Make training test less flakey
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@ -56,7 +56,7 @@ def test_issue999(train_data):
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for _, offsets in train_data:
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for _, offsets in train_data:
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for start, end, ent_type in offsets:
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for start, end, ent_type in offsets:
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nlp.entity.add_label(ent_type)
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nlp.entity.add_label(ent_type)
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for itn in range(10):
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for itn in range(100):
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random.shuffle(train_data)
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random.shuffle(train_data)
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for raw_text, entity_offsets in train_data:
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for raw_text, entity_offsets in train_data:
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doc = nlp.make_doc(raw_text)
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doc = nlp.make_doc(raw_text)
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