{'teams': {0: {'team_name': 'search', 'agent': 'search.py', 'url': 'https://github.com/COMP90054-2025-Semester1/assignment-1-search-ashughes222.git', 'commit_id': '97bc211a0ef662d73d1987755ee1d03727061d98', 'git_status': True, 'comments': 'N/A', 'submitted_time': '28/03/2025 14:26:13', 'copy_files': True}}}
before grades
Starting on 3-28 at 3:30:50
after grades

Question part1
==============
*** Search time: 0:00:02.888896
*** FAIL: marking/part1/food_heuristic_grade_tricky.test
*** 	expanded nodes: 10464
*** 	thresholds: [15000, 12500, 10000, 4200]
*** Search time: 0:00:00.037436
*** PASS: marking/part1/hidden_heuristic_grade.test
*** 	expanded nodes: 180
*** 	thresholds: [18000, 17000, 7500, 6500]

### Question part1: 1.60/2 ###


Question part2
==============
*** FAIL: Exception raised: ('B1', '0:A->B1', 1.0)
*** 
*** Traceback (most recent call last):
***   File "/code/assignment1/code_base/grading.py", line 79, in grade
***     util.TimeoutFunction(getattr(gradingModule, q), 2000)(self)  # Call the question's function
***   File "/code/assignment1/code_base/util.py", line 663, in __call__
***     result = self.function(*args, **keyArgs)
***   File "autograder.py", line 306, in <lambda>
***     return lambda grades: question.execute(grades)
***   File "/code/assignment1/code_base/testClasses.py", line 143, in execute
***     grades.addPoints([f(grades) for _, f in self.testCases].count(True) * multiplier)
***   File "/code/assignment1/code_base/testClasses.py", line 143, in <listcomp>
***     grades.addPoints([f(grades) for _, f in self.testCases].count(True) * multiplier)
***   File "autograder.py", line 300, in <lambda>
***     return lambda grades: testCase.execute(grades, moduleDict, solutionDict)
***   File "/code/assignment1/code_base/searchTestClasses.py", line 321, in execute
***     solution, expanded_states, error = self.getSolInfo(search)
***   File "/code/assignment1/code_base/searchTestClasses.py", line 304, in getSolInfo
***     solution = alg(problem)
***   File "/code/assignment1/code_base/search.py", line 175, in lrtaStarSearch
***     pathUpdate, pathStep = lrtaStarTrial(problem, learningHeuristic)
***   File "/code/assignment1/code_base/search.py", line 186, in lrtaStarTrial
***     updateBool, updateState = lookAheadUpdate1(currentState, problem, learningHeuristic)
***   File "/code/assignment1/code_base/search.py", line 200, in lookAheadUpdate1
***     print(problem.getSuccessors(('B1', '0:A->B1', 1.0)))
***   File "/code/assignment1/code_base/searchTestClasses.py", line 227, in getSuccessors
***     return list(self.successors[state])
*** KeyError: ('B1', '0:A->B1', 1.0)
*** 

### Question part2: 0.00/3 ###


Question part3
==============
*** FAIL: Exception raised: ('B1', '0:A->B1', 1.0)
*** 
*** Traceback (most recent call last):
***   File "/code/assignment1/code_base/grading.py", line 79, in grade
***     util.TimeoutFunction(getattr(gradingModule, q), 2000)(self)  # Call the question's function
***   File "/code/assignment1/code_base/util.py", line 663, in __call__
***     result = self.function(*args, **keyArgs)
***   File "autograder.py", line 306, in <lambda>
***     return lambda grades: question.execute(grades)
***   File "/code/assignment1/code_base/testClasses.py", line 143, in execute
***     grades.addPoints([f(grades) for _, f in self.testCases].count(True) * multiplier)
***   File "/code/assignment1/code_base/testClasses.py", line 143, in <listcomp>
***     grades.addPoints([f(grades) for _, f in self.testCases].count(True) * multiplier)
***   File "autograder.py", line 300, in <lambda>
***     return lambda grades: testCase.execute(grades, moduleDict, solutionDict)
***   File "/code/assignment1/code_base/searchTestClasses.py", line 321, in execute
***     solution, expanded_states, error = self.getSolInfo(search)
***   File "/code/assignment1/code_base/searchTestClasses.py", line 304, in getSolInfo
***     solution = alg(problem)
***   File "/code/assignment1/code_base/search.py", line 227, in lrtakStarSearch
***     pathUpdate, pathStep = lrtaStarTrial(problem, learningHeuristic)
***   File "/code/assignment1/code_base/search.py", line 186, in lrtaStarTrial
***     updateBool, updateState = lookAheadUpdate1(currentState, problem, learningHeuristic)
***   File "/code/assignment1/code_base/search.py", line 200, in lookAheadUpdate1
***     print(problem.getSuccessors(('B1', '0:A->B1', 1.0)))
***   File "/code/assignment1/code_base/searchTestClasses.py", line 227, in getSuccessors
***     return list(self.successors[state])
*** KeyError: ('B1', '0:A->B1', 1.0)
*** 

### Question part3: 0.00/2 ###


Finished at 3:30:53

Provisional grades
==================
Question part1: 1.60/2
Question part2: 0.00/3
Question part3: 0.00/2
------------------
Total passed test cases: 1.60/7