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https://huggingface.co/datasets/Parth1700/jee-neet-benchmark/resolve/main/tests/test_evaluation.py
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15.4 kB
| """Tests for src/evaluation.py - scoring and evaluation functions.""" | |
| import sys | |
| import os | |
| sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'src')) | |
| import pytest | |
| from evaluation import ( | |
| calculate_single_question_score_details, | |
| calculate_exam_scores, | |
| calculate_max_score_for_question, | |
| is_within_range, | |
| ) | |
| # --- calculate_single_question_score_details --- | |
| class TestSingleQuestionScoring: | |
| """Tests for individual question scoring across exam types.""" | |
| # NEET MCQ | |
| def test_neet_correct(self): | |
| result = calculate_single_question_score_details({ | |
| "question_id": "N001", "exam_name": "NEET", | |
| "question_type": "MCQ_SINGLE_CORRECT", | |
| "ground_truth": ["1"], "predicted_answer": ["1"], | |
| "api_call_successful": True, | |
| }) | |
| assert result["marks_awarded"] == 4 | |
| assert result["evaluation_status"] == "correct" | |
| def test_neet_incorrect(self): | |
| result = calculate_single_question_score_details({ | |
| "question_id": "N002", "exam_name": "NEET", | |
| "question_type": "MCQ_SINGLE_CORRECT", | |
| "ground_truth": ["D"], "predicted_answer": ["B"], | |
| "api_call_successful": True, | |
| }) | |
| assert result["marks_awarded"] == -1 | |
| assert result["evaluation_status"] == "incorrect" | |
| def test_neet_skipped(self): | |
| result = calculate_single_question_score_details({ | |
| "question_id": "N003", "exam_name": "NEET", | |
| "question_type": "MCQ_SINGLE_CORRECT", | |
| "ground_truth": ["4"], "predicted_answer": "SKIP", | |
| "api_call_successful": True, | |
| }) | |
| assert result["marks_awarded"] == 0 | |
| assert result["evaluation_status"] == "skipped" | |
| def test_api_failure_no_penalty(self): | |
| """API/parse failures should score 0, not -1.""" | |
| result = calculate_single_question_score_details({ | |
| "question_id": "N004", "exam_name": "NEET", | |
| "question_type": "MCQ_SINGLE_CORRECT", | |
| "ground_truth": ["C"], "predicted_answer": None, | |
| "api_call_successful": False, | |
| }) | |
| assert result["marks_awarded"] == 0 | |
| assert result["evaluation_status"] == "failure_api_or_parse" | |
| def test_parse_failure_no_penalty(self): | |
| """Parse failure (api_success=True but pred=None) should score 0.""" | |
| result = calculate_single_question_score_details({ | |
| "question_id": "N005", "exam_name": "NEET", | |
| "question_type": "MCQ_SINGLE_CORRECT", | |
| "ground_truth": ["A"], "predicted_answer": None, | |
| "api_call_successful": True, | |
| }) | |
| assert result["marks_awarded"] == 0 | |
| assert result["evaluation_status"] == "failure_api_or_parse" | |
| # JEE Main | |
| def test_jee_main_mcq_correct(self): | |
| result = calculate_single_question_score_details({ | |
| "question_id": "JM001", "exam_name": "JEE_MAIN", | |
| "question_type": "MCQ_SINGLE_CORRECT", | |
| "ground_truth": ["2"], "predicted_answer": ["2"], | |
| "api_call_successful": True, | |
| }) | |
| assert result["marks_awarded"] == 4 | |
| def test_jee_main_integer_correct(self): | |
| result = calculate_single_question_score_details({ | |
| "question_id": "JM003", "exam_name": "JEE_MAIN", | |
| "question_type": "INTEGER", | |
| "ground_truth": ["5"], "predicted_answer": ["5"], | |
| "api_call_successful": True, | |
| }) | |
| assert result["marks_awarded"] == 4 | |
| def test_jee_main_integer_incorrect_no_penalty(self): | |
| result = calculate_single_question_score_details({ | |
| "question_id": "JM004", "exam_name": "JEE_MAIN", | |
| "question_type": "INTEGER", | |
| "ground_truth": ["10"], "predicted_answer": ["8"], | |
| "api_call_successful": True, | |
| }) | |
| assert result["marks_awarded"] == 0 | |
| # JEE Advanced | |
| def test_jee_advanced_mcq_single_correct(self): | |
| result = calculate_single_question_score_details({ | |
| "question_id": "JA001", "exam_name": "JEE_ADVANCED", | |
| "question_type": "MCQ_SINGLE_CORRECT", | |
| "ground_truth": ["A"], "predicted_answer": ["a"], | |
| "api_call_successful": True, | |
| }) | |
| assert result["marks_awarded"] == 3 # JEE Advanced MCQ single = +3 | |
| def test_jee_advanced_mcq_multiple_all_correct(self): | |
| result = calculate_single_question_score_details({ | |
| "question_id": "JA005", "exam_name": "JEE_ADVANCED", | |
| "question_type": "MCQ_MULTIPLE_CORRECT", | |
| "ground_truth": ["A", "C"], "predicted_answer": ["a", "c"], | |
| "api_call_successful": True, | |
| }) | |
| assert result["marks_awarded"] == 4 | |
| assert result["evaluation_status"] == "correct_full" | |
| def test_jee_advanced_mcq_multiple_partial_2_of_3(self): | |
| result = calculate_single_question_score_details({ | |
| "question_id": "JA006", "exam_name": "JEE_ADVANCED", | |
| "question_type": "MCQ_MULTIPLE_CORRECT", | |
| "ground_truth": ["A", "B", "C"], "predicted_answer": ["a", "b"], | |
| "api_call_successful": True, | |
| }) | |
| assert result["marks_awarded"] == 2 | |
| assert result["evaluation_status"] == "partial_2_of_3_plus" | |
| def test_jee_advanced_mcq_multiple_partial_3_of_4(self): | |
| result = calculate_single_question_score_details({ | |
| "question_id": "JA007", "exam_name": "JEE_ADVANCED", | |
| "question_type": "MCQ_MULTIPLE_CORRECT", | |
| "ground_truth": ["A", "B", "C", "D"], "predicted_answer": ["a", "b", "c"], | |
| "api_call_successful": True, | |
| }) | |
| assert result["marks_awarded"] == 3 | |
| assert result["evaluation_status"] == "partial_3_of_4" | |
| def test_jee_advanced_mcq_multiple_partial_1_of_2(self): | |
| result = calculate_single_question_score_details({ | |
| "question_id": "JA008", "exam_name": "JEE_ADVANCED", | |
| "question_type": "MCQ_MULTIPLE_CORRECT", | |
| "ground_truth": ["A", "B"], "predicted_answer": ["a"], | |
| "api_call_successful": True, | |
| }) | |
| assert result["marks_awarded"] == 1 | |
| assert result["evaluation_status"] == "partial_1_of_2_plus" | |
| def test_jee_advanced_mcq_multiple_incorrect_chosen(self): | |
| result = calculate_single_question_score_details({ | |
| "question_id": "JA009", "exam_name": "JEE_ADVANCED", | |
| "question_type": "MCQ_MULTIPLE_CORRECT", | |
| "ground_truth": ["A", "C"], "predicted_answer": ["a", "b"], | |
| "api_call_successful": True, | |
| }) | |
| assert result["marks_awarded"] == -2 | |
| assert result["evaluation_status"] == "incorrect_negative" | |
| def test_jee_advanced_integer_with_range(self): | |
| result = calculate_single_question_score_details({ | |
| "question_id": "JA_RANGE", "exam_name": "JEE_ADVANCED", | |
| "question_type": "INTEGER", | |
| "ground_truth": [["0.7", "0.8"]], | |
| "predicted_answer": ["0.75"], | |
| "api_call_successful": True, | |
| }) | |
| assert result["marks_awarded"] == 4 | |
| assert result["evaluation_status"] == "correct" | |
| def test_jee_advanced_integer_outside_range(self): | |
| result = calculate_single_question_score_details({ | |
| "question_id": "JA_RANGE2", "exam_name": "JEE_ADVANCED", | |
| "question_type": "INTEGER", | |
| "ground_truth": [["0.7", "0.8"]], | |
| "predicted_answer": ["0.9"], | |
| "api_call_successful": True, | |
| }) | |
| assert result["marks_awarded"] == 0 | |
| assert result["evaluation_status"] == "incorrect" | |
| # --- is_within_range --- | |
| class TestIsWithinRange: | |
| def test_within_range(self): | |
| assert is_within_range("0.75", "0.7", "0.8") is True | |
| def test_at_lower_bound(self): | |
| assert is_within_range("0.7", "0.7", "0.8") is True | |
| def test_at_upper_bound(self): | |
| assert is_within_range("0.8", "0.7", "0.8") is True | |
| def test_below_range(self): | |
| assert is_within_range("0.5", "0.7", "0.8") is False | |
| def test_above_range(self): | |
| assert is_within_range("0.9", "0.7", "0.8") is False | |
| def test_invalid_value(self): | |
| assert is_within_range("abc", "0.7", "0.8") is False | |
| # --- calculate_max_score_for_question --- | |
| class TestMaxScore: | |
| def test_neet_mcq(self): | |
| assert calculate_max_score_for_question("NEET", "MCQ_SINGLE_CORRECT") == 4 | |
| def test_jee_main_mcq(self): | |
| assert calculate_max_score_for_question("JEE_MAIN", "MCQ_SINGLE_CORRECT") == 4 | |
| def test_jee_main_integer(self): | |
| assert calculate_max_score_for_question("JEE_MAIN", "INTEGER") == 4 | |
| def test_jee_advanced_mcq_single(self): | |
| assert calculate_max_score_for_question("JEE_ADVANCED", "MCQ_SINGLE_CORRECT") == 3 | |
| def test_jee_advanced_mcq_multiple(self): | |
| assert calculate_max_score_for_question("JEE_ADVANCED", "MCQ_MULTIPLE_CORRECT") == 4 | |
| def test_jee_advanced_integer(self): | |
| assert calculate_max_score_for_question("JEE_ADVANCED", "INTEGER") == 4 | |
| def test_unknown(self): | |
| assert calculate_max_score_for_question("UNKNOWN", "UNKNOWN") == 0 | |
| # --- calculate_exam_scores (integration) --- | |
| class TestExamScoresIntegration: | |
| """Integration test using the full test dataset from evaluation.py __main__.""" | |
| def test_results(self): | |
| return [ | |
| {"question_id": "N001", "subject": "Physics", "exam_name": "NEET", "question_type": "MCQ_SINGLE_CORRECT", "ground_truth": ["1"], "predicted_answer": ["1"], "api_call_successful": True}, | |
| {"question_id": "N002", "subject": "Physics", "exam_name": "NEET", "question_type": "MCQ_SINGLE_CORRECT", "ground_truth": ["D"], "predicted_answer": ["B"], "api_call_successful": True}, | |
| {"question_id": "N003", "subject": "Chemistry", "exam_name": "NEET", "question_type": "MCQ_SINGLE_CORRECT", "ground_truth": ["4"], "predicted_answer": "SKIP", "api_call_successful": True}, | |
| {"question_id": "N004", "subject": "Chemistry", "exam_name": "NEET", "question_type": "MCQ_SINGLE_CORRECT", "ground_truth": ["C"], "predicted_answer": None, "api_call_successful": False}, | |
| {"question_id": "N005", "subject": "Botany", "exam_name": "NEET", "question_type": "MCQ_SINGLE_CORRECT", "ground_truth": ["A"], "predicted_answer": None, "api_call_successful": True}, | |
| {"question_id": "JM001", "subject": "Maths", "exam_name": "JEE_MAIN", "question_type": "MCQ_SINGLE_CORRECT", "ground_truth": ["2"], "predicted_answer": ["2"], "api_call_successful": True}, | |
| {"question_id": "JM002", "subject": "Maths", "exam_name": "JEE_MAIN", "question_type": "MCQ_SINGLE_CORRECT", "ground_truth": ["C"], "predicted_answer": ["a"], "api_call_successful": True}, | |
| {"question_id": "JM003", "subject": "Physics", "exam_name": "JEE_MAIN", "question_type": "INTEGER", "ground_truth": ["5"], "predicted_answer": ["5"], "api_call_successful": True}, | |
| {"question_id": "JM004", "subject": "Physics", "exam_name": "JEE_MAIN", "question_type": "INTEGER", "ground_truth": ["10"], "predicted_answer": ["8"], "api_call_successful": True}, | |
| {"question_id": "JM005", "subject": "Chemistry", "exam_name": "JEE_MAIN", "question_type": "INTEGER", "ground_truth": ["7"], "predicted_answer": None, "api_call_successful": True}, | |
| {"question_id": "JA001", "subject": "Maths", "exam_name": "JEE_ADVANCED", "question_type": "MCQ_SINGLE_CORRECT", "ground_truth": ["A"], "predicted_answer": ["a"], "api_call_successful": True}, | |
| {"question_id": "JA002", "subject": "Maths", "exam_name": "JEE_ADVANCED", "question_type": "MCQ_SINGLE_CORRECT", "ground_truth": ["B"], "predicted_answer": ["C"], "api_call_successful": True}, | |
| {"question_id": "JA003", "subject": "Physics", "exam_name": "JEE_ADVANCED", "question_type": "INTEGER", "ground_truth": ["12"], "predicted_answer": ["12"], "api_call_successful": True}, | |
| {"question_id": "JA004", "subject": "Physics", "exam_name": "JEE_ADVANCED", "question_type": "INTEGER", "ground_truth": ["0"], "predicted_answer": ["1"], "api_call_successful": True}, | |
| {"question_id": "JA005", "subject": "Chemistry", "exam_name": "JEE_ADVANCED", "question_type": "MCQ_MULTIPLE_CORRECT", "ground_truth": ["A", "C"], "predicted_answer": ["a", "c"], "api_call_successful": True}, | |
| {"question_id": "JA006", "subject": "Chemistry", "exam_name": "JEE_ADVANCED", "question_type": "MCQ_MULTIPLE_CORRECT", "ground_truth": ["A", "B", "C"], "predicted_answer": ["a", "b"], "api_call_successful": True}, | |
| {"question_id": "JA007", "subject": "Chemistry", "exam_name": "JEE_ADVANCED", "question_type": "MCQ_MULTIPLE_CORRECT", "ground_truth": ["A", "B", "C", "D"], "predicted_answer": ["a", "b", "c"], "api_call_successful": True}, | |
| {"question_id": "JA008", "subject": "Chemistry", "exam_name": "JEE_ADVANCED", "question_type": "MCQ_MULTIPLE_CORRECT", "ground_truth": ["A", "B"], "predicted_answer": ["a"], "api_call_successful": True}, | |
| {"question_id": "JA009", "subject": "Chemistry", "exam_name": "JEE_ADVANCED", "question_type": "MCQ_MULTIPLE_CORRECT", "ground_truth": ["A", "C"], "predicted_answer": ["a", "b"], "api_call_successful": True}, | |
| {"question_id": "JA010", "subject": "Chemistry", "exam_name": "JEE_ADVANCED", "question_type": "MCQ_MULTIPLE_CORRECT", "ground_truth": ["A", "C"], "predicted_answer": ["b", "d"], "api_call_successful": True}, | |
| {"question_id": "JA011", "subject": "Chemistry", "exam_name": "JEE_ADVANCED", "question_type": "MCQ_MULTIPLE_CORRECT", "ground_truth": ["A", "C"], "predicted_answer": "SKIP", "api_call_successful": True}, | |
| {"question_id": "JA012", "subject": "Maths", "exam_name": "JEE_ADVANCED", "question_type": "MCQ_MULTIPLE_CORRECT", "ground_truth": ["A"], "predicted_answer": ["a"], "api_call_successful": True}, | |
| {"question_id": "JA013", "subject": "Physics", "exam_name": "JEE_ADVANCED", "question_type": "MCQ_MULTIPLE_CORRECT", "ground_truth": ["A", "B", "C"], "predicted_answer": ["a", "d"], "api_call_successful": True}, | |
| ] | |
| def test_overall_score(self, test_results): | |
| summary = calculate_exam_scores(test_results) | |
| # NEET: 4-1+0+0+0=3, JEE Main MCQ: 4-1=3, JEE Main INT: 4+0+0=4, | |
| # JEE Adv MCQ Single: 3-1=2, JEE Adv INT: 4+0=4, | |
| # JEE Adv MCQ Multi: 4+2+3+1-2-2+0+4-2=8 => Total=24 | |
| assert summary["overall_score"] == 24 | |
| def test_overall_counts(self, test_results): | |
| summary = calculate_exam_scores(test_results) | |
| assert summary["overall_correct_full"] == 7 | |
| assert summary["overall_partial_correct"] == 3 | |
| assert summary["overall_incorrect_choice"] == 8 | |
| assert summary["overall_skipped"] == 2 | |
| assert summary["overall_api_parse_failures"] == 3 | |
| def test_section_scores(self, test_results): | |
| summary = calculate_exam_scores(test_results) | |
| sections = summary["section_breakdown"] | |
| assert sections["Physics"]["score"] == 9 # (4-1)+(4+0)+(4+0)-2 | |
| assert sections["Chemistry"]["score"] == 6 # (0+0)+(0)+(4+2+3+1-2-2+0) | |
| assert sections["Botany"]["score"] == 0 # parse fail = 0 | |
| assert sections["Maths"]["score"] == 9 # (4-1)+(3-1)+4 | |
| def test_empty_results(self): | |
| summary = calculate_exam_scores([]) | |
| assert "error" in summary | |