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Start updating test
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@ -1,7 +1,8 @@
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from spacy.errors import AlignmentError
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from spacy.errors import AlignmentError
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from spacy.gold import biluo_tags_from_offsets, offsets_from_biluo_tags
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from spacy.gold import biluo_tags_from_offsets, offsets_from_biluo_tags
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from spacy.gold import spans_from_biluo_tags, iob_to_biluo, align
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from spacy.gold import spans_from_biluo_tags, iob_to_biluo, align
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from spacy.gold import GoldCorpus, docs_to_json, Example, DocAnnotation
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from spacy.gold import GoldCorpus, docs_to_json, DocAnnotation
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from spacy.gold.new_example import NewExample as Example
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from spacy.lang.en import English
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from spacy.lang.en import English
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from spacy.syntax.nonproj import is_nonproj_tree
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from spacy.syntax.nonproj import is_nonproj_tree
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from spacy.syntax.gold_parse import GoldParse, get_parses_from_example
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from spacy.syntax.gold_parse import GoldParse, get_parses_from_example
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@ -91,7 +92,7 @@ def merged_dict():
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"ids": [1, 2, 3, 4, 5, 6, 7],
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"ids": [1, 2, 3, 4, 5, 6, 7],
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"words": ["Hi", "there", "everyone", "It", "is", "just", "me"],
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"words": ["Hi", "there", "everyone", "It", "is", "just", "me"],
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"tags": ["INTJ", "ADV", "PRON", "PRON", "AUX", "ADV", "PRON"],
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"tags": ["INTJ", "ADV", "PRON", "PRON", "AUX", "ADV", "PRON"],
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"sent_starts": [1, 0, 0, 1, 0, 0, 0, 0],
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"sent_starts": [1, 0, 0, 1, 0, 0, 0],
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}
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}
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@ -482,8 +483,8 @@ def _train(train_data):
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def test_split_sents(merged_dict):
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def test_split_sents(merged_dict):
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nlp = English()
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nlp = English()
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example = Example.from_dict(
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example = Example.from_dict(
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merged_dict,
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Doc(nlp.vocab, words=merged_dict["words"]),
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doc=Doc(nlp.vocab, words=merged_dict["words"])
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merged_dict
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)
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)
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assert len(get_parses_from_example(
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assert len(get_parses_from_example(
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example,
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example,
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@ -514,24 +515,20 @@ def test_split_sents(merged_dict):
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assert token_annotation_2.sent_starts == [1, 0, 0, 0]
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assert token_annotation_2.sent_starts == [1, 0, 0, 0]
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# This fails on some None value? Need to look into that.
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@pytest.mark.xfail # TODO
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def test_tuples_to_example(vocab, merged_dict):
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def test_tuples_to_example(vocab, merged_dict):
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cats = {"TRAVEL": 1.0, "BAKING": 0.0}
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cats = {"TRAVEL": 1.0, "BAKING": 0.0}
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merged_dict = dict(merged_dict)
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merged_dict = dict(merged_dict)
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merged_dict["cats"] = cats
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merged_dict["cats"] = cats
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ex = Example.from_dict(
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ex = Example.from_dict(
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merged_dict,
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Doc(vocab, words=merged_dict["words"]),
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doc=Doc(vocab, words=merged_dict["words"])
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merged_dict
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)
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)
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ex_dict = ex.to_dict()
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words = [token.text for token in ex.reference]
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assert ex_dict["token_annotation"]["ids"] == merged_dict["ids"]
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assert words == merged_dict["words"]
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assert ex_dict["token_annotation"]["words"] == merged_dict["words"]
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tags = [token.tag_ for token in ex.reference]
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assert ex_dict["token_annotation"]["tags"] == merged_dict["tags"]
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assert tags == merged_dict["tags"]
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assert ex_dict["token_annotation"]["sent_starts"] == merged_dict["sent_starts"]
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sent_starts = [token.is_sent_start for token in ex.reference]
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assert ex_dict["doc_annotation"]["cats"] == cats
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assert sent_starts == [bool(v) for v in merged_dict["sent_starts"]]
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example.reference.cats == cats
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def test_empty_example_goldparse():
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nlp = English()
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doc = nlp("")
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example = Example(doc=doc)
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assert len(get_parses_from_example(example)) == 1
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