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/tests/helpers.py
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| a | b/tests/helpers.py | ||
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| 1 | import spacy |
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| 2 | |||
| 3 | import edsnlp |
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| 4 | |||
| 5 | |||
| 6 | def make_nlp(lang): |
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| 7 | if lang == "eds": |
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| 8 | model = spacy.blank("eds") |
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| 9 | else: |
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| 10 | model = edsnlp.blank("fr") |
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| 11 | |||
| 12 | model.add_pipe("eds.normalizer") |
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| 13 | |||
| 14 | model.add_pipe("eds.sentences") |
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| 15 | model.add_pipe("eds.sections") |
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| 16 | |||
| 17 | model.add_pipe( |
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| 18 | "eds.matcher", |
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| 19 | config=dict( |
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| 20 | terms=dict(patient="patient"), |
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| 21 | attr="NORM", |
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| 22 | ignore_excluded=True, |
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| 23 | ), |
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| 24 | ) |
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| 25 | model.add_pipe( |
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| 26 | "eds.matcher", |
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| 27 | name="matcher2", |
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| 28 | config=dict( |
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| 29 | regex=dict(anomalie=r"anomalie"), |
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| 30 | ), |
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| 31 | ) |
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| 32 | |||
| 33 | model.add_pipe("eds.hypothesis") |
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| 34 | model.add_pipe("eds.negation") |
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| 35 | model.add_pipe("eds.family") |
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| 36 | model.add_pipe("eds.history") |
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| 37 | model.add_pipe("eds.reported_speech") |
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| 38 | |||
| 39 | model.add_pipe("eds.dates") |
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| 40 | model.add_pipe("eds.quantities") |
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| 41 | |||
| 42 | return model |