code: def test_lang_subset_unlikely_language(en_multilingual):
      """
      Test that the language subset masking chooses a legal language, even if all legal languages are supa unlikely
      """
      sentences = ["你好" * 200]
      docs = [Document([], text=text) for text in sentences]
      en_multilingual(docs)
      assert [doc.lang for doc in docs] == ["en"]
  
      processor = en_multilingual.processors["langid"]
      model = processor._model
      text_tensor = processor._text_to_tensor(sentences)
      en_idx = model.tag_to_idx["en"]
      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"
  
file_path: stanza/stanza/tests/langid/test_langid.py
imports: import pytest
  from stanza.models.common.doc import Document
  from stanza.pipeline.core import Pipeline
  from stanza.pipeline.langid_processor import LangIDProcessor
  from stanza.tests import TEST_MODELS_DIR
label_desc: Use image node_id 10 for calling a global function with example usage: test_lang_subset_unlikely_language(en_multilingual) without return types