diff --git a/misinformation/test/test_multimodal_search.py b/misinformation/test/test_multimodal_search.py index b5fd26a..8f82e15 100644 --- a/misinformation/test/test_multimodal_search.py +++ b/misinformation/test/test_multimodal_search.py @@ -370,18 +370,20 @@ sorted_clip_vitl14_336 = [ [6, 5, 4, 10, 2, 3, 0, 1, 11, 7, 9, 8], ] -itm_scores_for_blib_base = [0.09277121722698212, - 0.020782141014933586, - 0.020832309499382973, - 0.004225197248160839, - 0.00020702541223727167, - 0.00410003075376153, - 0.0009893759852275252, - 0.00015318581426981837, - 1.9936736862291582e-05, - 4.0083985368255526e-05, - 0.0006117734010331333, - 4.1486648115096614e-05] +itm_scores_for_blib_base = [ + 0.09277121722698212, + 0.020782141014933586, + 0.020832309499382973, + 0.004225197248160839, + 0.00020702541223727167, + 0.00410003075376153, + 0.0009893759852275252, + 0.00015318581426981837, + 1.9936736862291582e-05, + 4.0083985368255526e-05, + 0.0006117734010331333, + 4.1486648115096614e-05, +] @pytest.mark.parametrize( @@ -627,26 +629,26 @@ def test_parsing_images( del model, vis_processor, txt_processor cuda.empty_cache() - if (pre_model == "blip"): + if pre_model == "blip": for itm_model in ["blip_base", "blip_large", "blip2_coco"]: - itm_scores, image_gradcam_with_itm = ms.MultimodalSearch.image_text_match_reordering( - testdict, - search_query2, - itm_model, - image_keys, - sorted_list, - batch_size=1, - need_grad_cam=True, + ( + itm_scores, + image_gradcam_with_itm, + ) = ms.MultimodalSearch.image_text_match_reordering( + testdict, + search_query2, + itm_model, + image_keys, + sorted_list, + batch_size=1, + need_grad_cam=True, ) - for i,itm in zip(range(len(itm_scores_for_blib_base)), itm_scores_for_blib_base): + for i, itm in zip( + range(len(itm_scores_for_blib_base)), itm_scores_for_blib_base + ): assert ( - math.isclose(itm_scores[0].tolist()[i], itm, rel_tol = 100*related_error) is True + math.isclose( + itm_scores[0].tolist()[i], itm, rel_tol=100 * related_error + ) + is True ) - - - - - - - - \ No newline at end of file