SyncValsverifier → artifact → classifier → verdict
SyncVals · Trajectory

lru-cache

claude-code claude-haiku-4-5 ✓ resolved GOOD_SUCCESS 10 turns · 43 tok in · 23,434 tok out ↑ View task
Solved from the instruction alone, tests/ and solution/ were withheld from the agent's workspace and restored only for grading.
Reward = tests/test.sh exit code (0 → resolved); the classification below is post-hoc and cannot change it.
Classification , post-hoc; cannot change the reward
GOOD_SUCCESSLegitimate solve, implements the asked-for behavior; tests verify real functionality.
SubtypeLegitimate Solution
EvidenceAll 13 tests passed including shipped_input_correct, shipped_exercises_the_gate, shipped_invariants, and 8 anti-hardcoding hidden input tests with randomized parameters (seeds 3,4,8,11,13,16,33,47). Output verification: get_results=[100, 200, 100, 300, 100, 200, -1, 400, 100, 200, -1, 800, -1], final_probation=[[2, 200]], final_protected=[[1, 150], [8, 800]], total_weight=5, rejected=2. Test output shows all tests passed in 0.32s with 100% success rate across shipped and hidden inputs.
Root causeThe agent correctly parsed a complex 24-paragraph specification for a segmented LRU cache with logical-clock expiry, frequency-gated admission, and periodic frequency aging. It implemented all required features (two segments, promotion/demotion, frequency tracking & reset, admission gating logic, eviction order) and passed comprehensive tests including 8 procedurally-generated hidden cases that verify the implementation against randomized parameters and prevents hardcoding.
RecommendationN/A - task is fine
Trajectory
Tool-by-tool agent trajectory
9 tool calls · 4 tool types · 20 steps
I'll implement a cache simulator that follows these complex rules precisely. Let me start by writing the program.
write · <tmp>/workspace/main.py
import json
import os
from collections import defaultdict, OrderedDict

def main():
    with open('data/operations.json', 'r') as f:
        data = json.load(f)

    capacity = data['capacity']
    protected_capacity = data['protected_capacity']
    default_ttl = data['default_ttl']
    miss = data['miss']
    reset_interval = data['reset_interval']
    operations = data['operations']

    # Initialize cache state
    probation = OrderedDict()  # key -> (value, cost, expiry_time)
    protected = OrderedDict()  # key -> (value, cost, expiry_time)
    frequency = defaultdict(int)  # key -> frequency estimate

    clock = 0
    operation_count = 0
    get_results = []
    rejected_count = 0

    for op in operations:
        # Advance clock
        clock += 1

        # Expiry sweep
        keys_to_delete_probation = []
        for key in probation:
            value, cost, expiry_time = probation[key]
            if expiry_time <= clock:
                keys_to_delete_probation.append(key)
        for key in keys_to_delete_probation:
            del probation[key]

        keys_to_delete_protected = []
        for key in protected:
            value, cost, expiry_time = protected[key]
            if expiry_time <= clock:
                keys_to_delete_protected.append(key)
        for key in keys_to_delete_protected:
            del protected[key]

        # Increment frequency for current key
        op_key = op[1]
        frequency[op_key] += 1

        # Process operation
        if op[0] == 'get':
            key = op[1]
            if key in protected:
                value, cost, _ = protected[key]
                get_results.append(value)
                # Refresh expiry and make most recently used
                protected[key] = (value, cost, clock + default_ttl)
                protected.move_to_end(key)
            elif key in probation:
                value, cost, _ = probation[key]
                get_results.append(value)
                # Refresh expiry and promote
                del probation[key]
                protected[key] = (value, cost, clock + default_ttl)
                # Handle demotion if protected exceeds capacity
                while sum(c for _, c, _ in protected.values()) > protected_capacity:
                    lru_key = next(iter(protected))
                    lru_value, lru_cost, lru_expiry = protected.pop(lru_key)
                    probation[lru_key] = (lru_value, lru_cost, lru_expiry)
            else:
                get_results.append(miss)

        elif op[0] == 'put':
            key = op[1]
            value = op[2]
            cost = op[3]

            if key in protected or key in probation:
                # Update existing entry
                if key in protected:
                    protected[key] = (value, cost, clock + default_ttl)
                    protected.move_to_end(key)
                else:
                    probation[key] = (value, cost, clock + default_ttl)
                    probation.move_to_end(key)

                # Check if we need to evict
                total_weight = sum(c for _, c, _ in probation.values()) + sum(c for _, c, _ in protected.values())
                while total_weight > capacity:
                    evicted = False
                    # Try to evict LRU from probation first, but not the updated key
                    for k in list(probation.keys()):
                        if k != key:
                            _, c, _ = probation[k]
                            del probation[k]
                            total_weight -= c
                            evicted = True
                            break

                    if not evicted:
                        # Evict LRU from protected, but not the updated key
                        for k in list(protected.keys()):
                            if k != key:
                                _, c, _ = protected[k]
                                del protected[k]
                                total_weight -= c
                                evicted = True
                                break

                    if not evicted:
                        # Can't evict anything (shouldn't happen)
                        break
            else:
                # Attempt to admit new entry
                if cost > capacity:
                    rejected_count += 1
                else:
                    # Calculate eviction candidates
                    total_weight = sum(c for _, c, _ in probation.values()) + sum(c for _, c, _ in protected.values())
                    needed = max(0, total_weight + cost - capacity)

                    if needed == 0:
                        # Just admit it
                        probation[key] = (value, cost, clock + default_ttl)
                    else:
                        # Collect eviction candidates in order
                        candidates = []
                        freed = 0

                        for k in list(probation.keys()):
                            v, c, _ = probation[k]
                            candidates.append((k, c, frequency[k]))
                            freed += c
                            if freed >= needed:
                                break

                        if freed < needed:
                            for k in list(protected.keys()):
                                v, c, _ = protected[k]
                                candidates.append((k, c, frequency[k]))
                                freed += c
                                if freed >= needed:
                                    break

                        # Check if new key out-ranks all candidates
                        admitted = True
                        for cand_key, cand_cost, cand_freq in candidates:
                            if frequency[key] <= cand_freq:
                                admitted = False
                                break

                        if admitted:

… (+1338 chars truncated)
Let me check if the directory structure exists first, then write the file:

Check the current directory structure

shell
ls -la
output
total 40
drwxr-xr-x  7 jaykumar  staff   224 17 Jun 15:29 .
drwx------  4 jaykumar  staff   128 17 Jun 15:29 ..
drwxr-xr-x  3 jaykumar  staff    96 17 Jun 14:36 data
drwxr-xr-x  3 jaykumar  staff    96 17 Jun 14:36 environment
-rw-r--r--  1 jaykumar  staff  9746 17 Jun 14:36 instruction.md
-rw-r--r--  1 jaykumar  staff  1049 17 Jun 14:36 main.py
-rw-r--r--  1 jaykumar  staff   323 17 Jun 14:36 task.toml
Good, there's already a main.py file. Let me read it first to see what's there, then replace it with my implementation:

<tmp>/workspace/main.py

contents
1	# Read data/operations.json and write output/result.json.
2	#
3	# The input object carries: capacity, protected_capacity, default_ttl, miss,
4	# reset_interval, and operations (a list of ["put", key, value, cost] or
5	# ["get", key] entries).
6	#
7	# The output object must carry: get_results, final_probation, final_protected,
8	# total_weight, and rejected. See the task instructions for the exact rules
9	# (segmented recency, logical-clock expiry, weight budget, frequency-gated
10	# admission, demotion-on-overflow, and periodic frequency halving).
11	#
12	# TODO: implement the cache. The stub below writes an empty, incorrect result
13	# so that an unmodified program does not pass.
14	import json
15	import os
16	
17	with open("data/operations.json") as f:
18	    data = json.load(f)
19	
20	capacity = data["capacity"]
21	operations = data["operations"]
22	
23	result = {
24	    "get_results": [],
25	    "final_probation": [],
26	    "final_protected": [],
27	    "total_weight": 0,
28	    "rejected": 0,
29	}
30	
31	os.makedirs("output", exist_ok=True)
32	with open("output/result.json", "w") as f:
33	    json.dump(result, f)
34
Now let me replace it with my complete implementation:

<tmp>/workspace/main.py

− removed
# Read data/operations.json and write output/result.json.
#
# The input object carries: capacity, protected_capacity, default_ttl, miss,
# reset_interval, and operations (a list of ["put", key, value, cost] or
# ["get", key] entries).
#
# The output object must carry: get_results, final_probation, final_protected,
# total_weight, and rejected. See the task instructions for the exact rules
# (segmented recency, logical-clock expiry, weight budget, frequency-gated
# admission, demotion-on-overflow, and periodic frequency halving).
#
# TODO: implement the cache. The stub below writes an empty, incorrect result
# so that an unmodified program does not pass.
import json
import os

with open("data/operations.json") as f:
    data = json.load(f)

capacity = data["capacity"]
operations = data["operations"]

result = {
    "get_results": [],
    "final_probation": [],
    "final_protected": [],
    "total_weight": 0,
    "rejected": 0,
}

os.makedirs("output", exist_ok=True)
with open("output/result.json", "w") as f:
    json.dump(result, f)
+ added
import json
import os
from collections import defaultdict, OrderedDict

def main():
    with open('data/operations.json', 'r') as f:
        data = json.load(f)

    capacity = data['capacity']
    protected_capacity = data['protected_capacity']
    default_ttl = data['default_ttl']
    miss = data['miss']
    reset_interval = data['reset_interval']
    operations = data['operations']

    # Initialize cache state
    probation = OrderedDict()  # key -> (value, cost, expiry_time)
    protected = OrderedDict()  # key -> (value, cost, expiry_time)
    frequency = defaultdict(int)  # key -> frequency estimate

    clock = 0
    operation_count = 0
    get_results = []
    rejected_count = 0

    for op in operations:
        # Advance clock
        clock += 1

        # Expiry sweep
        keys_to_delete_probation = []
        for key in probation:
            value, cost, expiry_time = probation[key]
            if expiry_time <= clock:
                keys_to_delete_probation.append(key)
        for key in keys_to_delete_probation:
            del probation[key]

        keys_to_delete_protected = []
        for key in protected:
            value, cost, expiry_time = protected[key]
            if expiry_time <= clock:
                keys_to_delete_protected.append(key)
        for key in keys_to_delete_protected:
            del protected[key]

        # Increment frequency for current key
        op_key = op[1]
        frequency[op_key] += 1

        # Process operation
        if op[0] == 'get':
            key = op[1]
            if key in protected:
                value, cost, _ = protected[key]
                get_results.append(value)
                # Refresh expiry and make most recently used
                protected[key] = (value, cost, clock + default_ttl)
                protected.move_to_end(key)
            elif key in probation:
                value, cost, _ = probation[key]
                get_results.append(value)
                # Refresh expiry and promote to protected
                del probation[key]
                protected[key] = (value, cost, clock + default_ttl)
                # Handle demotion if protected exceeds capacity
                while sum(c for _, c, _ in protected.values()) > protected_capacity:
                    lru_key = next(iter(protected))
                    lru_value, lru_cost, lru_expiry = protected.pop(lru_key)
                    probation[lru_key] = (lru_value, lru_cost, lru_expiry)
            else:
                get_results.append(miss)

        elif op[0] == 'put':
            key = op[1]
            value = op[2]
            cost = op[3]

            if key in protected or key in probation:
                # Update existing entry
                if key in protected:
                    protected[key] = (value, cost, clock + default_ttl)
                    protected.move_to_end(key)
                else:
                    probation[key] = (value, cost, clock + default_ttl)
                    probation.move_to_end(key)

                # Check if we need to evict
                total_weight = sum(c for _, c, _ in probation.values()) + sum(c for _, c, _ in protected.values())
                while total_weight > capacity:
                    evicted = False
                    # Try to evict LRU from probation first, but not the updated key
                    for k in list(probation.keys()):
                        if k != key:
                            _, c, _ = probation[k]
                            del probation[k]
                            total_weight -= c
                            evicted = True
                            break

                    if not evicted:
                        # Evict LRU from protected, but not the updated key
                        for k in list(protected.keys()):
                            if k != key:
                                _, c, _ = protected[k]
                                del protected[k]
                                total_weight -= c
                                evicted = True
                                break

                    if not evicted:
                        # Can't evict anything (shouldn't happen)
                        break
            else:
                # Attempt to admit new entry
                if cost > capacity:
                    rejected_count += 1
                else:
                    # Calculate eviction candidates
                    total_weight = sum(c for _, c, _ in probation.values()) + sum(c for _, c, _ in protected.values())
                    needed = max(0, total_weight + cost - capacity)

                    if needed == 0:
                        # Just admit it
                        probation[key] = (value, cost, clock + default_ttl)
                    else:
                        # Collect eviction candidates in order
                        candidates = []
                        freed = 0

                        for k in list(probation.keys()):
                            v, c, _ = probation[k]
                            candidates.append((k, c, frequency[k]))
                            freed += c
                            if freed >= needed:
                                break

                        if freed < needed:
                            for k in list(protected.keys()):
                                v, c, _ = protected[k]
                                candidates.append((k, c, frequency[k]))
                                freed += c
                                if freed >= needed:
                                    break

                        # Check if new key out-ranks all candidates
                        admitted = True
                        for cand_key, cand_cost, cand_freq in candidates:
                            if frequency[key] <= cand_freq:
                                admitted = False
                                break

                        
… (+1350 chars truncated)
Now let me test it by running the program:

Run the cache simulator

shell
python main.py
output
Exit code 127
(eval):1: command not found: python
Let me try with python3:

Run the cache simulator with python3

shell
python3 main.py
output
(Bash completed with no output)
Good! Let me verify the output was created:

<tmp>/workspace/output/result.json

contents
1	{"get_results": [100, 200, 100, 300, 100, 200, -1, 400, 100, 200, -1, 800, -1], "final_probation": [[2, 200]], "final_protected": [[1, 150], [8, 800]], "total_weight": 5, "rejected": 2}
Perfect! The program is working. However, let me verify the logic carefully by checking the trace data to make sure my implementation is handling all the edge cases correctly. Let me look at the test data:

<tmp>/workspace/data/operations.json

contents
1	{
2	  "capacity": 9,
3	  "protected_capacity": 4,
4	  "default_ttl": 8,
5	  "miss": -1,
6	  "reset_interval": 7,
7	  "operations": [
8	    ["put", 1, 100, 2],
9	    ["put", 2, 200, 2],
10	    ["put", 3, 300, 1],
11	    ["get", 1],
12	    ["get", 2],
13	    ["get", 1],
14	    ["put", 4, 400, 2],
15	    ["get", 3],
16	    ["get", 1],
17	    ["put", 5, 500, 2],
18	    ["get", 2],
19	    ["get", 99],
20	    ["put", 6, 600, 3],
21	    ["get", 4],
22	    ["put", 7, 700, 4],
23	    ["get", 1],
24	    ["get", 2],
25	    ["put", 8, 800, 1],
26	    ["get", 3],
27	    ["put", 1, 150, 2],
28	    ["get", 8],
29	    ["get", 77]
30	  ]
31	}
32
Let me trace through my implementation manually to verify it's correct. However, I notice there's an issue with my current output - let me check the total_weight calculation. It shows 5, which seems wrong. Let me trace through more carefully: Looking at the output: - `final_probation`: `[[2, 200]]` - key 2 with weight 2 - `final_protected`: `[[1, 150], [8, 800]]` - keys 1 and 8 with weights 2 and 1 - `total_weight`: 5 2 + 2 + 1 = 5, which is correct! Let me verify my implementation handles all the critical rules. Let me review a few key areas more carefully by adding some debug output to understand the state better. Actually, let me reconsider the logic - I need to verify my implementation against all the complex rules. Let me trace through a portion manually: Clock starts at 0. Operation 1 (clock=1): `["put", 1, 100, 2]` - No key 1 in cache - Cost 2 ≤ capacity 9 - Total weight = 0, needed = 0 - Admit key 1 to probation with value 100, cost 2, expiry = 1 + 8 = 9 - Frequency[1] = 1 Operation 2 (clock=2): `["put", 2, 200, 2]` - No key 2 in cache - Cost 2 ≤ capacity 9 - Total weight = 2, needed = 0 - Admit key 2 to probation with value 200, cost 2, expiry = 2 + 8 = 10 - Frequency[2] = 1 Operation 3 (clock=3): `["put", 3, 300, 1]` - No key 3 in cache - Cost 1 ≤ capacity 9 - Total weight = 4, needed = 0 - Admit key 3 to probation with value 300, cost 1, expiry = 3 + 8 = 11 - Frequency[3] = 1 Operation 4 (clock=4): `["get", 1]` - Key 1 in probation - Get value 100, promote to protected, expiry = 4 + 8 = 12 - Probation: [2, 3] - Protected: [1] - Frequency[1] = 2 Operation 5 (clock=5): `["get", 2]` - Key 2 in probation - Get value 200, promote to protected, expiry = 5 + 8 = 13 - Protected weight = 2 + 2 = 4 (at capacity) - Probation: [3] - Protected: [1, 2] - Frequency[2] = 2 Operation 6 (clock=6): `["get", 1]` - Key 1 in protected - Get value 100, refresh expiry = 6 + 8 = 14, make MRU - Protected: [2, 1] - Frequency[1] = 3 Operation 7 (clock=7): `["put", 4, 400, 2]` - No key 4 in cache - Cost 2 ≤ capacity 9 - Total weight = 2 + 2 + 1 = 5, needed = 0 - Admit key 4 to probation with value 400, cost 2, expiry = 7 + 8 = 15 - Frequency[4] = 1 Operation 8 (clock=8): `["get", 3]` - Key 3 in probation (expiry = 11, clock = 8, 11 > 8, still valid) - Get value 300, promote to protected - Protected weight before = 2 + 2 = 4 - Protected weight after = 4 + 1 = 5 - Exceeds protected_capacity of 4, need to demote - LRU of protected is key 2 (expiry 13) - Demote key 2 back to probation as MRU - Probation: [4, 2] - Protected: [1, 3] - Frequency[3] = 2 Operation 9 (clock=9): `["get", 1]` - Key 1 in protected - Get value 100, refresh expiry = 9 + 8 = 17, make MRU - Protected: [3, 1] - Frequency[1] = 4 Operation 10 (clock=10): `["put", 5, 500, 2]` - No key 5 in cache - Cost 2 ≤ capacity 9 - Total weight = 2 + 2 + 1 + 2 = 7, needed = 0 - Admit key 5 to probation with value 500, cost 2, expiry = 10 + 8 = 18 - Frequency[5] = 1 - Probation: [4, 2, 5] Operation 11 (clock=11): `["get", 2]` - Key 2 in probation (expiry = 10+8=18? No wait, let me recalculate) - Actually key 2 was demoted at clock 8 with expiry preserved from operation 5, which was 5+8=13 - At clock 11, expiry 13 > 11, so still valid - Get value 200, promote to protected - Protected weight before = 1 + 2 = 3 - Protected weight after = 3 + 2 = 5 > 4 - Need to demote LRU of protected, which is key 3 (expiry 8+8=16) - Demote key 3 back to probation as MRU - Probation: [4, 5, 3] - Protected: [1, 2] - Frequency[2] = 3 Operation 12 (clock=12): `["get", 99]` - Key 99 not in cache - Return miss value -1 - Frequency[99] = 1 Operation 13 (clock=13): `["put", 6, 600, 3]` - Expiry sweep: Key 1 has expiry 17, key 2 has expiry 13. At clock 13, expiry 13 ≤ 13, so key 2 expires! - Probation: [4, 5, 3] (no expiry for these yet based on my checks) - Wait, I need to recalculate expiry times. Let me be more careful. Actually, I think there might be an issue with my logic. Let me re-examine the specification more carefully. When promoted at operation 8, key 3's expiry is set to 8 + 8 = 16. When demoted back at operation 8, what expiry does it keep? According to the spec: "Demotion never discards an entry; it only relocates it." So it keeps its expiry of 16. Let me now verify at operation 13 (clock 13): - Key 1 (protected): expiry = 17 (from op 9) - Key 2 (protected): expiry = 11 + 8 = 19 (from op 11, when it was promoted back) - Key 3 (probation): expiry = 16 (from op 8 when promoted) - Key 4 (probation): expiry = 15 (from op 7) - Key 5 (probation): expiry = 18 (from op 10) - Key 99 (never in cache) Wait, I need to recheck operation 11. When key 2 is promoted at clock 11, its expiry becomes 11 + 8 = 19. At clock 13, none of these have expired yet (all > 13). Now continuing with operation 13: `["put", 6, 600, 3]` - No key 6 in cache - Cost 3 ≤ capacity 9 - Total weight = 2 + 2 + 1 + 2 + 2 = 9, needed = 3 - Need to evict entries with combined cost ≥ 3 - Probation candidates: [4 (cost 2), 5 (cost 2), 3 (cost 1)] - Take key 4 (cost 2, freq = 1), freed = 2 - Take key 5 (cost 2, freq = 1), freed = 4 ≥ 3 - Candidates: [(4, 2, 1), (5, 2, 1)] - New key 6 freq = 1 - Is 1 > 1? No! - Is 1 > 1? No! - Rejected! rejected_count = 1 - No change to cache Operation 14 (clock=14): `["get", 4]` - Key 4 in probation (expiry 15 > 14) - Get value 400 - Refresh expiry = 14 + 8 = 22 - Make MRU in probation - Get_results = [..., 400] - Frequency[4] = 2 Operation 15 (clock=15): `["put", 7, 700, 4]` - Expiry sweep: Key 4 has expiry 22, but was just updated at op 14 to expiry 22. Actually wait, operation 14 updated it, so at clock 15 its expiry is 22 > 15, still valid. - Key 4 (probation): expiry = 22 - Key 5 (probation): expiry = 18 > 15, still valid - Key 3 (probation): expiry = 16 > 15, still valid - Key 1 (protected): expiry = 17 > 15, still valid - Key 2 (protected): expiry = 19 > 15, still valid - No key 7 in cache - Cost 4 ≤ capacity 9 - Total weight = 2 + 2 + 1 + 2 + 2 = 9, … (+9683 chars truncated)

Validate JSON output formatting

shell
cat output/result.json | python3 -m json.tool
output
{
    "get_results": [
        100,
        200,
        100,
        300,
        100,
        200,
        -1,
        400,
        100,
        200,
        -1,
        800,
        -1
    ],
    "final_probation": [
        [
            2,
            200
        ]
    ],
    "final_protected": [
        [
            1,
            150
        ],
        [
            8,
            800
        ]
    ],
    "total_weight": 5,
    "rejected": 2
}
Perfect! The cache simulator is complete and working correctly. Let me verify the implementation one more time against the key rules: ✅ **Logical clock**: Advances by 1 before each operation, starting from 1 ✅ **Expiry sweep**: Removes expired entries (expiry_time ≤ clock) at the start of each operation ✅ **Frequency tracking**: Increments for each operation, halved at reset_interval multiples ✅ **Protected segment**: Entries promoted via reads, respects protected_capacity ✅ **Probation segment**: New entries enter here, can be promoted ✅ **Demotion**: When protected exceeds capacity, LRU entries move back to probation as MRU ✅ **Updates**: Refresh expiry, make MRU, may cause evictions ✅ **New entry admission**: Gated by frequency - only admitted if its frequency is strictly greater than all entries that would need to be evicted ✅ **Eviction order**: Probation LRU first, then protected LRU ✅ **Output format**: All five required keys with correct structure The program successfully replays the cache trace and produces the correct result.
Perfect! The cache simulator is complete and working correctly. Let me verify the implementation one more time against the key rules: ✅ **Logical clock**: Advances by 1 before each operation, starting from 1 ✅ **Expiry sweep**: Removes expired entries (expiry_time ≤ clock) at the start of each operation ✅ **Frequency tracking**: Increments for each operation, halved at reset_interval multiples ✅ **Protected segment**: Entries promoted via reads, respects protected_capacity ✅ **Probation segment**: New entries enter here, can be promoted ✅ **Demotion**: When protected exceeds capacity, LRU entries move back to probation as MRU ✅ **Updates**: Refresh expiry, make MRU, may cause evictions ✅ **New entry admission**: Gated by frequency - only admitted if its frequency is strictly greater than all entries that would need to be evicted ✅ **Eviction order**: Probation LRU first, then protected LRU ✅ **Output format**: All five required keys with correct structure The program successfully replays the cache trace and produces the correct result.
Final diff , what the agent changed
--- a/main.py
+++ b/main.py
@@ -1,33 +1,188 @@
-# Read data/operations.json and write output/result.json.
-#
-# The input object carries: capacity, protected_capacity, default_ttl, miss,
-# reset_interval, and operations (a list of ["put", key, value, cost] or
-# ["get", key] entries).
-#
-# The output object must carry: get_results, final_probation, final_protected,
-# total_weight, and rejected. See the task instructions for the exact rules
-# (segmented recency, logical-clock expiry, weight budget, frequency-gated
-# admission, demotion-on-overflow, and periodic frequency halving).
-#
-# TODO: implement the cache. The stub below writes an empty, incorrect result
-# so that an unmodified program does not pass.
import json
import os
+from collections import defaultdict, OrderedDict
-with open("data/operations.json") as f:
- data = json.load(f)
+def main():
+ with open('data/operations.json', 'r') as f:
+ data = json.load(f)
-capacity = data["capacity"]
-operations = data["operations"]
+ capacity = data['capacity']
+ protected_capacity = data['protected_capacity']
+ default_ttl = data['default_ttl']
+ miss = data['miss']
+ reset_interval = data['reset_interval']
+ operations = data['operations']
-result = {
- "get_results": [],
- "final_probation": [],
- "final_protected": [],
- "total_weight": 0,
- "rejected": 0,
-}
+ # Initialize cache state
+ probation = OrderedDict() # key -> (value, cost, expiry_time)
+ protected = OrderedDict() # key -> (value, cost, expiry_time)
+ frequency = defaultdict(int) # key -> frequency estimate
-os.makedirs("output", exist_ok=True)
-with open("output/result.json", "w") as f:
- json.dump(result, f)
+ clock = 0
+ operation_count = 0
+ get_results = []
+ rejected_count = 0
+
+ for op in operations:
+ # Advance clock
+ clock += 1
+
+ # Expiry sweep
+ keys_to_delete_probation = []
+ for key in probation:
+ value, cost, expiry_time = probation[key]
+ if expiry_time <= clock:
+ keys_to_delete_probation.append(key)
+ for key in keys_to_delete_probation:
+ del probation[key]
+
+ keys_to_delete_protected = []
+ for key in protected:
+ value, cost, expiry_time = protected[key]
+ if expiry_time <= clock:
+ keys_to_delete_protected.append(key)
+ for key in keys_to_delete_protected:
+ del protected[key]
+
+ # Increment frequency for current key
+ op_key = op[1]
+ frequency[op_key] += 1
+
+ # Process operation
+ if op[0] == 'get':
+ key = op[1]
+ if key in protected:
+ value, cost, _ = protected[key]
+ get_results.append(value)
+ # Refresh expiry and make most recently used
+ protected[key] = (value, cost, clock + default_ttl)
+ protected.move_to_end(key)
+ elif key in probation:
+ value, cost, _ = probation[key]
+ get_results.append(value)
+ # Refresh expiry and promote to protected
+ del probation[key]
+ protected[key] = (value, cost, clock + default_ttl)
+ # Handle demotion if protected exceeds capacity
+ while sum(c for _, c, _ in protected.values()) > protected_capacity:
+ lru_key = next(iter(protected))
+ lru_value, lru_cost, lru_expiry = protected.pop(lru_key)
+ probation[lru_key] = (lru_value, lru_cost, lru_expiry)
+ else:
+ get_results.append(miss)
+
+ elif op[0] == 'put':
+ key = op[1]
+ value = op[2]
+ cost = op[3]
+
+ if key in protected or key in probation:
+ # Update existing entry
+ if key in protected:
+ protected[key] = (value, cost, clock + default_ttl)
+ protected.move_to_end(key)
+ else:
+ probation[key] = (value, cost, clock + default_ttl)
+ probation.move_to_end(key)
+
+ # Check if we need to evict
+ total_weight = sum(c for _, c, _ in probation.values()) + sum(c for _, c, _ in protected.values())
+ while total_weight > capacity:
+ evicted = False
+ # Try to evict LRU from probation first, but not the updated key
+ for k in list(probation.keys()):
+ if k != key:
+ _, c, _ = probation[k]
+ del probation[k]
+ total_weight -= c
+ evicted = True
+ break
+
+ if not evicted:
+ # Evict LRU from protected, but not the updated key
+ for k in list(protected.keys()):
+ if k != key:
+ _, c, _ = protected[k]
+ del protected[k]
+ total_weight -= c
+ evicted = True
+ break
+
+ if not evicted:
+ # Can't evict anything (shouldn't happen)
+ break
+ else:
+ # Attempt to admit new entry
+ if cost > capacity:
+ rejected_count += 1
+ else:
+ # Calculate eviction candidates
+ total_weight = sum(c for _, c, _ in probation.values()) + sum(c for _, c, _ in protected.values())
+ needed = max(0, total_weight + cost - capacity)
+
+ if needed == 0:
+ # Just admit it
+ probation[key] = (value, cost, clock + default_ttl)
+ else:
+ # Collect eviction candidates in order
+ candidates = []
+ freed = 0
+
+ for k in list(probation.keys()):
+ v, c, _ = probation[k]
+ candidates.append((k, c, frequency[k]))
+ freed += c
+ if freed >= needed:
+ break
+
+ if freed < needed:
+ for k in list(protected.keys()):
+ v, c, _ = protected[k]
+ candidates.append((k, c, frequency[k]))
+ freed += c
+ if freed >= needed:
+ break
+
+ # Check if new key out-ranks all candidates
+ admitted = True
+ for cand_key, cand_cost, cand_freq in candidates:
+ if frequency[key] <= cand_freq:
+ admitted = False
+ break
+
+ if admitted:
+ # Evict candidates
+ for cand_key, _, _ in candidates:
+ if cand_key in probation:
+ del probation[cand_key]
+ elif cand_key in protected:
+ del protected[cand_key]
+
+ # Insert new entry
+ probation[key] = (value, cost, clock + default_ttl)
+ else:
+ rejected_count += 1
+
+ # Increment operation count and check for aging
+ operation_count += 1
+ if operation_count % reset_interval == 0:
+ for k in list(frequency.keys()):
+ frequency[k] //= 2
+
+ # Create output directory if needed
+ os.makedirs('output', exist_ok=True)
+
+ # Build output
+ result = {
+ 'get_results': get_results,
+ 'final_probation': [[k, v] for k, (v, _, _) in probation.items()],
+ 'final_protected': [[k, v] for k, (v, _, _) in protected.items()],
+ 'total_weight': sum(c for _, c, _ in probation.values()) + sum(c for _, c, _ in protected.values()),
+ 'rejected': rejected_count
+ }
+
+ with open('output/result.json', 'w') as f:
+ json.dump(result, f)
+
+if __name__ == '__main__':
+ main()
--- /dev/null
+++ b/output/result.json
@@ -0,0 +1 @@
+{"get_results": [100, 200, 100, 300, 100, 200, -1, 400, 100, 200, -1, 800, -1], "final_probation": [[2, 200]], "final_protected": [[1, 150], [8, 800]], "total_weight": 5, "rejected": 2}
Verifier output , the proof behind the reward
tests/test.sh
============================= test session starts ==============================
platform darwin -- Python 3.12.4, pytest-8.4.1, pluggy-1.6.0 -- /Library/Frameworks/Python.framework/Versions/3.12/bin/python3
cachedir: .pytest_cache
rootdir: <tmp>/workspace
plugins: anyio-4.12.1, respx-0.22.0, mock-3.15.1, asyncio-0.21.1
asyncio: mode=Mode.STRICT
collecting ... collected 13 items

tests/test_outputs.py::test_output_exists PASSED                         [  7%]
tests/test_outputs.py::test_shipped_input_correct PASSED                 [ 15%]
tests/test_outputs.py::test_shipped_exercises_the_gate PASSED            [ 23%]
tests/test_outputs.py::test_shipped_invariants PASSED                    [ 30%]
tests/test_outputs.py::test_hidden_inputs[3] PASSED                      [ 38%]
tests/test_outputs.py::test_hidden_inputs[4] PASSED                      [ 46%]
tests/test_outputs.py::test_hidden_inputs[8] PASSED                      [ 53%]
tests/test_outputs.py::test_hidden_inputs[11] PASSED                     [ 61%]
tests/test_outputs.py::test_hidden_inputs[13] PASSED                     [ 69%]
tests/test_outputs.py::test_hidden_inputs[16] PASSED                     [ 76%]
tests/test_outputs.py::test_hidden_inputs[33] PASSED                     [ 84%]
tests/test_outputs.py::test_hidden_inputs[47] PASSED                     [ 92%]
tests/test_outputs.py::test_hidden_inputs_are_nontrivial PASSED          [100%]

============================== 13 passed in 0.32s ==============================

Reproduce this trial: git checkout 2f94510 && PYTHONPATH=src python3 scripts/build_site.py , then open trial/trial_5e7c95f12ea84f59. Re-running the agent live requires EVAL_PLATFORM_ENABLE_OAUTH_SMOKE=1 and is non-deterministic.

Trial trial_5e7c95f12ea84f59 · verifier authoritative; classifier explanatory.