Not being graded (YOLO assignment)

I have passes all test got output but i am not being graded
it shows
Cell #3. Can’t compile the student’s code. Error: SyntaxError(‘EOF while scanning triple-quoted string literal’, (’/tmp/student_solution_cells/cell_3.py’, 31, 1295, ‘’’’\ntf.random.set_seed(10)\nbox_confidence = tf.random.normal([19, 19, 5, 1], mean=1, stddev=4, seed = 1)\nboxes = tf.random.normal([19, 19, 5, 4], mean=1, stddev=4, seed = 1)\nbox_class_probs = tf.random.normal([19, 19, 5, 80], mean=1, stddev=4, seed = 1)\nscores, boxes, classes = yolo_filter_boxes(boxes, box_confidence, box_class_probs, threshold = 0.5)\nprint("scores[2] = " + str(scores[2].numpy()))\nprint("boxes[2] = " + str(boxes[2].numpy()))\nprint("classes[2] = " + str(classes[2].numpy()))\nprint("scores.shape = " + str(scores.shape))\nprint(“boxes.shape = " + str(boxes.shape))\nprint(“classes.shape = " + str(classes.shape))\n\nassert type(scores) == EagerTensor, “Use tensorflow functions”\nassert type(boxes) == EagerTensor, “Use tensorflow functions”\nassert type(classes) == EagerTensor, “Use tensorflow functions”\n\nassert scores.shape == (1789,), “Wrong shape in scores”\nassert boxes.shape == (1789, 4), “Wrong shape in boxes”\nassert classes.shape == (1789,), “Wrong shape in classes”\n\nassert np.isclose(scores[2].numpy(), 9.270486), “Values are wrong on scores”\nassert np.allclose(boxes[2].numpy(), [4.6399336, 3.2303846, 4.431282, -2.202031]), “Values are wrong on boxes”\nassert classes[2].numpy() == 8, “Values are wrong on classes”\n\nprint(”\033[92m All tests passed!”)\n# END UNIT TESt\n’))

@TMosh and @paulinpaloalto can u please help?i did restart the kernal and updated my notebook but still same thing

Note that you posted this in General Discussion with no hint of which course or assignment you are talking about. I moved it for you and updated the title.

I can see from the names in the exception trace that it is the YOLO exercise from DLS Course 4. Did the other problems we discussed with the wrong TF function for computing box_class_scores fix this problem also?