SyncValsverifier → artifact → classifier → verdict
SyncVals · Trajectory

lru-cache

claude-code claude-haiku-4-5 ✓ resolved GOOD_SUCCESS 9 turns · 44 tok in · 16,493 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 pytest tests passed in test_outputs.py: test_output_exists, test_shipped_input_correct, test_shipped_exercises_the_gate, test_shipped_invariants, test_hidden_inputs[3-47] (8 seeds with anti-hardcoding checks), and test_hidden_inputs_are_nontrivial. The agent's implementation correctly handles all key requirements: logical clock expiry (rec[2] <= now), frequency tracking with halving every reset_interval, two-segment LRU ordering with promotion/demotion, frequency-gated admission (new key must strictly out-rank eviction candidates), weight-based capacity management, and distinction between update eviction (no gate) and admission eviction (with gate).
Root causeThe agent successfully implemented a complete and correct cache simulator that passes comprehensive test coverage including hidden anti-hardcoding tests. The implementation demonstrates proper understanding of all complex semantic requirements including the subtle distinction between expiry check (<=), frequency gate logic (strictly greater), and proper segment management.
RecommendationN/A - task is fine
Trajectory
Tool-by-tool agent trajectory
8 tool calls · 4 tool types · 18 steps
Looking at this cache simulation problem, I need to implement a sophisticated two-segment cache with frequency-based admission control, expiry-based eviction, and weight-based capacity management. Let me break down the key components: 1. **Clock and expiry**: Entries expire when `clock >= expiry_time` 2. **Frequency tracking**: Incremented per operation, aged every `reset_interval` operations 3. **Two segments**: Probation (new entries) and Protected (promoted entries) 4. **Frequency gate**: New entries must have strictly higher frequency than all entries they'd evict 5. **Weight-based capacity**: Total and per-segment budgets I'll create the implementation:
write · <tmp>/workspace/main.py
import json
import os
from collections import defaultdict


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

    capacity = config['capacity']
    protected_capacity = config['protected_capacity']
    default_ttl = config['default_ttl']
    miss_value = config['miss']
    reset_interval = config['reset_interval']
    operations = config['operations']

    # Initialize state
    clock = 0
    operation_count = 0
    frequency = defaultdict(int)
    cache = {}  # key -> {'value': ..., 'cost': ..., 'expiry': ...}

    # Segment management - lists ordered LRU to MRU
    probation = []
    protected = []
    segment_of = {}  # key -> 'probation' or 'protected'

    get_results = []
    rejected_count = 0

    for operation in operations:
        # Step 1: Increment logical clock
        clock += 1

        # Step 2: Sweep expired entries from both segments
        new_probation = []
        for key in probation:
            if cache[key]['expiry'] > clock:
                new_probation.append(key)
            else:
                del cache[key]
                del segment_of[key]
        probation = new_probation

        new_protected = []
        for key in protected:
            if cache[key]['expiry'] > clock:
                new_protected.append(key)
            else:
                del cache[key]
                del segment_of[key]
        protected = new_protected

        # Step 3: Increment frequency estimate for this operation's key
        op_key = operation[1]
        frequency[op_key] += 1

        # Step 4: Process operation
        if operation[0] == 'get':
            # Handle read operation
            if op_key in cache and cache[op_key]['expiry'] > clock:
                # Cache hit
                value = cache[op_key]['value']
                cache[op_key]['expiry'] = clock + default_ttl

                if segment_of[op_key] == 'protected':
                    # Move to MRU in protected segment
                    protected.remove(op_key)
                    protected.append(op_key)
                else:  # in probation
                    # Promote to protected as MRU
                    probation.remove(op_key)
                    protected.append(op_key)
                    segment_of[op_key] = 'protected'

                    # Handle demotion if protected exceeds capacity
                    while True:
                        protected_weight = sum(cache[k]['cost'] for k in protected)
                        if protected_weight <= protected_capacity:
                            break
                        # Demote LRU of protected to MRU of probation
                        lru_key = protected.pop(0)
                        probation.append(lru_key)
                        segment_of[lru_key] = 'probation'

                get_results.append(value)
            else:
                # Cache miss
                get_results.append(miss_value)

        elif operation[0] == 'put':
            value = operation[2]
            cost = operation[3]

            # Check if key already exists and is not expired
            key_exists = op_key in cache and cache[op_key]['expiry'] > clock

            if key_exists:
                # Update existing entry
                cache[op_key]['value'] = value
                cache[op_key]['cost'] = cost
                cache[op_key]['expiry'] = clock + default_ttl

                # Make MRU in current segment
                segment = segment_of[op_key]
                if segment == 'protected':
                    protected.remove(op_key)
                    protected.append(op_key)
                else:
                    probation.remove(op_key)
                    probation.append(op_key)

                # Evict if over total capacity, never evicting the updated entry
                while True:
                    total_weight = sum(cache[k]['cost'] for k in cache)
                    if total_weight <= capacity:
                        break

                    # Build eviction candidates (LRU order, skip updated key)
                    candidates = []
                    for key in probation:
                        if key != op_key:
                            candidates.append(key)
                    for key in protected:
                        if key != op_key:
                            candidates.append(key)

                    if not candidates:
                        break

                    # Evict first candidate (LRU)
                    evict_key = candidates[0]
                    if evict_key in probation:
                        probation.remove(evict_key)
                    else:
                        protected.remove(evict_key)
                    del cache[evict_key]
                    del segment_of[evict_key]

            else:
                # Admit new entry
                if cost > capacity:
                    # Entry larger than entire cache capacity
                    rejected_count += 1
                else:
                    total_weight = sum(cache[k]['cost'] for k in cache)
                    weight_to_free = max(0, total_weight + cost - capacity)

                    if weight_to_free == 0:
                        # Fits without eviction
                        cache[op_key] = {'value': value, 'cost': cost, 'expiry': clock + default_ttl}
                        probation.append(op_key)
                        segment_of[op_key] = 'probation'
                    else:
                        # Frequency gate: collect entries to evict in order
                        eviction_order = []
                        weight_freed = 0

                        # Add probation entries in LRU order
                        for key in probation:
                            weight_freed += cache[key]['cost']
                            eviction_order.append(key)
                            if weight_freed >= weight_to_fre
… (+2504 chars truncated)
Let me check if the file exists first:

Check workspace directory structure

shell
ls -la <tmp>/workspace/ | head -20
output
total 40
drwxr-xr-x  7 jaykumar  staff   224 17 Jun 15:24 .
drwx------  4 jaykumar  staff   128 17 Jun 15:24 ..
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
There's already a main.py. Let me read it first:

<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 I'll replace it with the full 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


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

    capacity = config["capacity"]
    protected_capacity = config["protected_capacity"]
    default_ttl = config["default_ttl"]
    miss_value = config["miss"]
    reset_interval = config["reset_interval"]
    operations = config["operations"]

    # Initialize state
    clock = 0
    operation_count = 0
    frequency = defaultdict(int)
    cache = {}  # key -> {'value': ..., 'cost': ..., 'expiry': ...}

    # Segment management - lists ordered LRU to MRU
    probation = []
    protected = []
    segment_of = {}  # key -> 'probation' or 'protected'

    get_results = []
    rejected_count = 0

    for operation in operations:
        # Step 1: Increment logical clock
        clock += 1

        # Step 2: Sweep expired entries from both segments
        new_probation = []
        for key in probation:
            if cache[key]["expiry"] > clock:
                new_probation.append(key)
            else:
                del cache[key]
                del segment_of[key]
        probation = new_probation

        new_protected = []
        for key in protected:
            if cache[key]["expiry"] > clock:
                new_protected.append(key)
            else:
                del cache[key]
                del segment_of[key]
        protected = new_protected

        # Step 3: Increment frequency estimate for this operation's key
        op_key = operation[1]
        frequency[op_key] += 1

        # Step 4: Process operation
        if operation[0] == "get":
            # Handle read operation
            if op_key in cache and cache[op_key]["expiry"] > clock:
                # Cache hit
                value = cache[op_key]["value"]
                cache[op_key]["expiry"] = clock + default_ttl

                if segment_of[op_key] == "protected":
                    # Move to MRU in protected segment
                    protected.remove(op_key)
                    protected.append(op_key)
                else:  # in probation
                    # Promote to protected as MRU
                    probation.remove(op_key)
                    protected.append(op_key)
                    segment_of[op_key] = "protected"

                    # Handle demotion if protected exceeds capacity
                    while True:
                        protected_weight = sum(cache[k]["cost"] for k in protected)
                        if protected_weight <= protected_capacity:
                            break
                        # Demote LRU of protected to MRU of probation
                        lru_key = protected.pop(0)
                        probation.append(lru_key)
                        segment_of[lru_key] = "probation"

                get_results.append(value)
            else:
                # Cache miss
                get_results.append(miss_value)

        elif operation[0] == "put":
            value = operation[2]
            cost = operation[3]

            # Check if key already exists and is not expired
            key_exists = op_key in cache and cache[op_key]["expiry"] > clock

            if key_exists:
                # Update existing entry
                cache[op_key]["value"] = value
                cache[op_key]["cost"] = cost
                cache[op_key]["expiry"] = clock + default_ttl

                # Make MRU in current segment
                segment = segment_of[op_key]
                if segment == "protected":
                    protected.remove(op_key)
                    protected.append(op_key)
                else:
                    probation.remove(op_key)
                    probation.append(op_key)

                # Evict if over total capacity, never evicting the updated entry
                while True:
                    total_weight = sum(cache[k]["cost"] for k in cache)
                    if total_weight <= capacity:
                        break

                    # Build eviction candidates (LRU order, skip updated key)
                    candidates = []
                    for key in probation:
                        if key != op_key:
                            candidates.append(key)
                    for key in protected:
                        if key != op_key:
                            candidates.append(key)

                    if not candidates:
                        break

                    # Evict first candidate (LRU)
                    evict_key = candidates[0]
                    if evict_key in probation:
                        probation.remove(evict_key)
                    else:
                        protected.remove(evict_key)
                    del cache[evict_key]
                    del segment_of[evict_key]

            else:
                # Admit new entry
                if cost > capacity:
                    # Entry larger than entire cache capacity
                    rejected_count += 1
                else:
                    total_weight = sum(cache[k]["cost"] for k in cache)
                    weight_to_free = max(0, total_weight + cost - capacity)

                    if weight_to_free == 0:
                        # Fits without eviction
                        cache[op_key] = {
                            "value": value,
                            "cost": cost,
                            "expiry": clock + default_ttl,
                        }
                        probation.append(op_key)
                        segment_of[op_key] = "probation"
                    else:
                        # Frequency gate: collect entries to evict in order
                        eviction_order = []
                        weight_freed = 0

                        # Add probation entries in LRU order
                        for key in probation:
                            weight_freed += cache[key]["cost"]
                            evicti
… (+2712 chars truncated)
Now let's 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 python3:

Run the cache simulator and display results

shell
python3 main.py && cat output/result.json
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! Let me verify the output was created correctly:

Verify output file exists and has content

shell
ls -la output/ && wc -c output/result.json
output
total 8
drwxr-xr-x  3 jaykumar  staff   96 17 Jun 15:26 .
drwxr-xr-x  8 jaykumar  staff  256 17 Jun 15:26 ..
-rw-r--r--  1 jaykumar  staff  185 17 Jun 15:26 result.json
     185 output/result.json
Excellent! The cache simulator is complete and working. Let me verify the logic by checking the actual data to make sure the implementation is sound:

<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
The implementation is complete and the program runs successfully. Here's what the cache simulator does: ## Summary I've built a fully functional segmented cache simulator at `main.py` that handles: 1. **Logical clock and expiry**: Entries expire when `clock >= expiry_time`, checked at the start of each operation 2. **Frequency tracking**: Each key's frequency increments per operation, halved every `reset_interval` ops 3. **Two-segment management**: - **Probation segment**: Where new entries start - **Protected segment**: Promoted entries from successful reads 4. **Promotion/demotion**: Reads promote entries to protected; if protected exceeds capacity, LRU entries demote back to probation 5. **Frequency-gated admission**: New entries only enter if their frequency is strictly greater than all entries they'd evict 6. **Weight-based capacity**: Tracks both total capacity and protected segment capacity 7. **Smart eviction**: Updates can evict, but the updated entry itself is never evicted; new entries use frequency gates The program reads `data/operations.json`, simulates the cache trace exactly as specified, and writes results to `output/result.json` with: - List of read results (or miss value for misses) - Final probation and protected segments (LRU→MRU order) - Total remaining weight - Count of rejected new entries
The implementation is complete and the program runs successfully. Here's what the cache simulator does: ## Summary I've built a fully functional segmented cache simulator at `main.py` that handles: 1. **Logical clock and expiry**: Entries expire when `clock >= expiry_time`, checked at the start of each operation 2. **Frequency tracking**: Each key's frequency increments per operation, halved every `reset_interval` ops 3. **Two-segment management**: - **Probation segment**: Where new entries start - **Protected segment**: Promoted entries from successful reads 4. **Promotion/demotion**: Reads promote entries to protected; if protected exceeds capacity, LRU entries demote back to probation 5. **Frequency-gated admission**: New entries only enter if their frequency is strictly greater than all entries they'd evict 6. **Weight-based capacity**: Tracks both total capacity and protected segment capacity 7. **Smart eviction**: Updates can evict, but the updated entry itself is never evicted; new entries use frequency gates The program reads `data/operations.json`, simulates the cache trace exactly as specified, and writes results to `output/result.json` with: - List of read results (or miss value for misses) - Final probation and protected segments (LRU→MRU order) - Total remaining weight - Count of rejected new entries
Final diff , what the agent changed
--- a/main.py
+++ b/main.py
@@ -1,33 +1,232 @@
-# 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)
+from collections import defaultdict
+
+
+def main():
+ with open("data/operations.json") as f:
+ config = json.load(f)
+
+ capacity = config["capacity"]
+ protected_capacity = config["protected_capacity"]
+ default_ttl = config["default_ttl"]
+ miss_value = config["miss"]
+ reset_interval = config["reset_interval"]
+ operations = config["operations"]
+
+ # Initialize state
+ clock = 0
+ operation_count = 0
+ frequency = defaultdict(int)
+ cache = {} # key -> {'value': ..., 'cost': ..., 'expiry': ...}
+
+ # Segment management - lists ordered LRU to MRU
+ probation = []
+ protected = []
+ segment_of = {} # key -> 'probation' or 'protected'
+
+ get_results = []
+ rejected_count = 0
+
+ for operation in operations:
+ # Step 1: Increment logical clock
+ clock += 1
+
+ # Step 2: Sweep expired entries from both segments
+ new_probation = []
+ for key in probation:
+ if cache[key]["expiry"] > clock:
+ new_probation.append(key)
+ else:
+ del cache[key]
+ del segment_of[key]
+ probation = new_probation
+
+ new_protected = []
+ for key in protected:
+ if cache[key]["expiry"] > clock:
+ new_protected.append(key)
+ else:
+ del cache[key]
+ del segment_of[key]
+ protected = new_protected
+
+ # Step 3: Increment frequency estimate for this operation's key
+ op_key = operation[1]
+ frequency[op_key] += 1
+
+ # Step 4: Process operation
+ if operation[0] == "get":
+ # Handle read operation
+ if op_key in cache and cache[op_key]["expiry"] > clock:
+ # Cache hit
+ value = cache[op_key]["value"]
+ cache[op_key]["expiry"] = clock + default_ttl
+
+ if segment_of[op_key] == "protected":
+ # Move to MRU in protected segment
+ protected.remove(op_key)
+ protected.append(op_key)
+ else: # in probation
+ # Promote to protected as MRU
+ probation.remove(op_key)
+ protected.append(op_key)
+ segment_of[op_key] = "protected"
+
+ # Handle demotion if protected exceeds capacity
+ while True:
+ protected_weight = sum(cache[k]["cost"] for k in protected)
+ if protected_weight <= protected_capacity:
+ break
+ # Demote LRU of protected to MRU of probation
+ lru_key = protected.pop(0)
+ probation.append(lru_key)
+ segment_of[lru_key] = "probation"
+
+ get_results.append(value)
+ else:
+ # Cache miss
+ get_results.append(miss_value)
+
+ elif operation[0] == "put":
+ value = operation[2]
+ cost = operation[3]
+
+ # Check if key already exists and is not expired
+ key_exists = op_key in cache and cache[op_key]["expiry"] > clock
+
+ if key_exists:
+ # Update existing entry
+ cache[op_key]["value"] = value
+ cache[op_key]["cost"] = cost
+ cache[op_key]["expiry"] = clock + default_ttl
+
+ # Make MRU in current segment
+ segment = segment_of[op_key]
+ if segment == "protected":
+ protected.remove(op_key)
+ protected.append(op_key)
+ else:
+ probation.remove(op_key)
+ probation.append(op_key)
+
+ # Evict if over total capacity, never evicting the updated entry
+ while True:
+ total_weight = sum(cache[k]["cost"] for k in cache)
+ if total_weight <= capacity:
+ break
+
+ # Build eviction candidates (LRU order, skip updated key)
+ candidates = []
+ for key in probation:
+ if key != op_key:
+ candidates.append(key)
+ for key in protected:
+ if key != op_key:
+ candidates.append(key)
+
+ if not candidates:
+ break
+
+ # Evict first candidate (LRU)
+ evict_key = candidates[0]
+ if evict_key in probation:
+ probation.remove(evict_key)
+ else:
+ protected.remove(evict_key)
+ del cache[evict_key]
+ del segment_of[evict_key]
+
+ else:
+ # Admit new entry
+ if cost > capacity:
+ # Entry larger than entire cache capacity
+ rejected_count += 1
+ else:
+ total_weight = sum(cache[k]["cost"] for k in cache)
+ weight_to_free = max(0, total_weight + cost - capacity)
+
+ if weight_to_free == 0:
+ # Fits without eviction
+ cache[op_key] = {
+ "value": value,
+ "cost": cost,
+ "expiry": clock + default_ttl,
+ }
+ probation.append(op_key)
+ segment_of[op_key] = "probation"
+ else:
+ # Frequency gate: collect entries to evict in order
+ eviction_order = []
+ weight_freed = 0
+
+ # Add probation entries in LRU order
+ for key in probation:
+ weight_freed += cache[key]["cost"]
+ eviction_order.append(key)
+ if weight_freed >= weight_to_free:
+ break
+
+ # Add protected entries if still need space
+ if weight_freed < weight_to_free:
+ for key in protected:
+ weight_freed += cache[key]["cost"]
+ eviction_order.append(key)
+ if weight_freed >= weight_to_free:
+ break
+
+ # Check frequency gate: new key must be strictly greater
+ # than every entry it would evict
+ can_admit = True
+ for evict_key in eviction_order:
+ if frequency[evict_key] >= frequency[op_key]:
+ can_admit = False
+ break
+
+ if can_admit:
+ # Evict entries
+ for evict_key in eviction_order:
+ if evict_key in probation:
+ probation.remove(evict_key)
+ else:
+ protected.remove(evict_key)
+ del cache[evict_key]
+ del segment_of[evict_key]
+
+ # Admit new entry into probation as MRU
+ cache[op_key] = {
+ "value": value,
+ "cost": cost,
+ "expiry": clock + default_ttl,
+ }
+ probation.append(op_key)
+ segment_of[op_key] = "probation"
+ else:
+ # Frequency gate rejected this entry
+ rejected_count += 1
+
+ # Step 5: Age frequencies at reset intervals
+ operation_count += 1
+ if operation_count % reset_interval == 0:
+ for key in frequency:
+ frequency[key] //= 2
+
+ # Prepare output
+ result = {
+ "get_results": get_results,
+ "final_probation": [[k, cache[k]["value"]] for k in probation],
+ "final_protected": [[k, cache[k]["value"]] for k in protected],
+ "total_weight": sum(cache[k]["cost"] for k in cache),
+ "rejected": rejected_count,
+ }
+
+ # Ensure output directory exists
+ os.makedirs("output", exist_ok=True)
+
+ # Write output
+ 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 0.33s ==============================

Reproduce this trial: git checkout 2f94510 && PYTHONPATH=src python3 scripts/build_site.py , then open trial/trial_84a9b332f3184fe1. Re-running the agent live requires EVAL_PLATFORM_ENABLE_OAUTH_SMOKE=1 and is non-deterministic.

Trial trial_84a9b332f3184fe1 · verifier authoritative; classifier explanatory.