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Update test_cnn.py
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tests/modules/scoring/test_cnn.py

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@@ -81,7 +81,7 @@ def test_cnn_cache_clearing(dataset):
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scorer.predict(test_data)
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def test_lora_scorer_dump_load(dataset):
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def test_cnn_scorer_dump_load(dataset):
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"""Test that BERTLoRAScorer can be saved and loaded while preserving predictions."""
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data_handler = DataHandler(dataset)
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@@ -119,10 +119,7 @@ def test_lora_scorer_dump_load(dataset):
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scorer_loaded.load(str(temp_dir_path))
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# Verify model and tokenizer are loaded
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assert hasattr(scorer_loaded, "_model")
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assert scorer_loaded._model is not None
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assert hasattr(scorer_loaded, "_tokenizer")
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assert scorer_loaded._tokenizer is not None
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assert not hasattr(scorer, "_model") or scorer._model is None
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# Get predictions after loading
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predictions_after = scorer_loaded.predict(test_data)

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