Add default for topic on custom level and random reorder for multiple choice options.
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@@ -1368,7 +1368,9 @@ def gen_multiple_choice_blank_space_utas(quantity: int, start_id: int, all_exams
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question["questions"][i], seen_keys = replace_exercise_if_exists_utas(all_exams, question["questions"][i],
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question,
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seen_keys)
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return fix_exercise_ids(question, start_id)
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response = fix_exercise_ids(question, start_id)
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response["questions"] = randomize_mc_options_order(response["questions"])
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return response
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def gen_multiple_choice_underlined_utas(quantity: int, start_id: int):
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@@ -1437,7 +1439,9 @@ def gen_multiple_choice_underlined_utas(quantity: int, start_id: int):
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if len(question["questions"]) != quantity:
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return gen_multiple_choice_level(quantity, start_id)
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else:
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return fix_exercise_ids(question, start_id)
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response = fix_exercise_ids(question, start_id)
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response["questions"] = randomize_mc_options_order(response["questions"])
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return response
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def gen_blank_space_text_utas(quantity: int, start_id: int, size: int, topic=random.choice(mti_topics)):
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@@ -1590,7 +1594,9 @@ def gen_text_multiple_choice_utas(text: str, start_id: int, mc_quantity: int):
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if len(question["questions"]) != mc_quantity:
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return gen_multiple_choice_level(mc_quantity, start_id)
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else:
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return fix_exercise_ids(question, start_id)["questions"]
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response = fix_exercise_ids(question, start_id)
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response["questions"] = randomize_mc_options_order(response["questions"])
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return response
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def generate_level_mc(start_id: int, quantity: int):
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@@ -1644,4 +1650,26 @@ def generate_level_mc(start_id: int, quantity: int):
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question = make_openai_call(GPT_4_O, messages, token_count, ["questions"],
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GEN_QUESTION_TEMPERATURE)
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return fix_exercise_ids(question, start_id)
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response = fix_exercise_ids(question, start_id)
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response["questions"] = randomize_mc_options_order(response["questions"])
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return response
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def randomize_mc_options_order(questions):
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option_ids = ['A', 'B', 'C', 'D']
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for question in questions:
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# Store the original solution text
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original_solution_text = next(
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option['text'] for option in question['options'] if option['id'] == question['solution'])
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# Shuffle the options
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random.shuffle(question['options'])
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# Update the option ids and find the new solution id
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for idx, option in enumerate(question['options']):
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option['id'] = option_ids[idx]
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if option['text'] == original_solution_text:
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question['solution'] = option['id']
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return questions
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