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https://github.com/explosion/spaCy.git
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fdb8815ef5
* `MorphAnalysis.get` returns only the field values * Move `_normalize_props` inside `Morphology` as `Morphology.normalize_attrs` and simplify * Simplify POS field detection/conversion * Convert all non-POS features to strings * `Morphology` returns an empty string for a missing morph to align with the FEATS string returned for an existing morph * Remove unused `list_to_feats`
22 lines
856 B
Python
22 lines
856 B
Python
from spacy.morphology import Morphology
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def test_feats_converters():
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feats = "Case=dat,gen|Number=sing"
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feats_dict = {"Case": "dat,gen", "Number": "sing"}
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# simple conversions
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assert Morphology.dict_to_feats(feats_dict) == feats
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assert Morphology.feats_to_dict(feats) == feats_dict
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# roundtrips
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assert Morphology.dict_to_feats(Morphology.feats_to_dict(feats)) == feats
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assert Morphology.feats_to_dict(Morphology.dict_to_feats(feats_dict)) == feats_dict
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# unsorted input is normalized
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unsorted_feats = "Number=sing|Case=gen,dat"
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unsorted_feats_dict = {"Case": "gen,dat", "Number": "sing"}
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assert Morphology.feats_to_dict(unsorted_feats) == feats_dict
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assert Morphology.dict_to_feats(unsorted_feats_dict) == feats
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assert Morphology.dict_to_feats(Morphology.feats_to_dict(unsorted_feats)) == feats
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