diff options
Diffstat (limited to 'stanza/tests/langid/test_langid.py')
| -rw-r--r-- | stanza/tests/langid/test_langid.py | 36 |
1 files changed, 1 insertions, 35 deletions
diff --git a/stanza/tests/langid/test_langid.py b/stanza/tests/langid/test_langid.py index 7dba9e40..a6ab671c 100644 --- a/stanza/tests/langid/test_langid.py +++ b/stanza/tests/langid/test_langid.py @@ -6,8 +6,7 @@ import pytest from stanza.models.common.doc import Document from stanza.pipeline.core import Pipeline -from stanza.pipeline.multilingual import MultilingualPipeline -from stanza.tests import * +from stanza.tests import TEST_MODELS_DIR #pytestmark = pytest.mark.skip @@ -595,36 +594,3 @@ def test_lang_subset_unlikely_language(): predictions = model(text_tensor) assert predictions[0, en_idx] < 0, "If this test fails, then regardless of how unlikely it was, the model is predicting the input string is possibly English. Update the test by picking a different combination of languages & input" -def test_multilingual_pipeline(): - """ - Basic test of multilingual pipeline - """ - english_text = "This is an English sentence." - english_deps_gold = "\n".join(( - "('This', 5, 'nsubj')", - "('is', 5, 'cop')", - "('an', 5, 'det')", - "('English', 5, 'amod')", - "('sentence', 0, 'root')", - "('.', 5, 'punct')" - )) - - french_text = "C'est une phrase française." - french_deps_gold = "\n".join(( - "(\"C'\", 4, 'nsubj')", - "('est', 4, 'cop')", - "('une', 4, 'det')", - "('phrase', 0, 'root')", - "('française', 4, 'amod')", - "('.', 4, 'punct')" - )) - - nlp = MultilingualPipeline(model_dir=TEST_MODELS_DIR) - docs = [english_text, french_text] - docs = nlp(docs) - - assert docs[0].lang == "en" - assert docs[0].sentences[0].dependencies_string() == english_deps_gold - assert docs[1].lang == "fr" - assert docs[1].sentences[0].dependencies_string() == french_deps_gold - |