SyncValsverifier → artifact → classifier → verdict
SyncVals · Trajectory

lru-cache

codex gpt-5.5 ✓ resolved GOOD_SUCCESS ↑ 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
EvidenceAgent passed all 13 tests: test_output_exists, test_shipped_input_correct (verifies shipped input matches reference_sim), test_shipped_exercises_the_gate (verifies rejection fires), test_shipped_invariants, and 8 test_hidden_inputs[seed] tests with diverse random traces (seeds 3,4,8,11,13,16,33,47). Agent's implementation is a SegmentedCache class with proper handling of: (1) segmented LRU ordering via OrderedDict, (2) logical-clock expiry with sweep before each operation, (3) frequency-gated admission comparing candidate frequency strictly > all eviction victims, (4) promotion on probation hit, (5) demotion when protected overflows, (6) weight-based eviction for updates, (7) periodic frequency halving at reset_interval boundaries. Solution matches reference implementation's behavior across varying cache capacities, protected capacities, TTLs, miss values, reset intervals, and operation traces.
Root causeAgent successfully understood a complex 7-rule cache specification and implemented a correct algorithm that handles all edge cases (frequency gating, promotion/demotion, expiry timing, weight budgets) well enough to pass randomized test cases with different parameters.
RecommendationN/A - task is fine
Trajectory
Tool-by-tool agent trajectory
32 tool calls · 2 tool types · 40 steps
I’ll implement the replay logic in `main.py`, then run it against the provided trace and inspect the generated JSON for sanity. First I’m reading the workspace shape and the input file schema.
shell
/bin/zsh -lc 'pwd && rg --files'
shell
/bin/zsh -lc 'pwd && rg --files'
output
<tmp>/workspace
data/operations.json
main.py
task.toml
environment/README.md
instruction.md
shell
/bin/zsh -lc "python3 - <<'PY'
import json
from pathlib import Path
p=Path('data/operations.json')
print(p.exists(), p.stat().st_size if p.exists() else None)
if p.exists():
    data=json.loads(p.read_text())
    print(data.keys())
    print({k:data[k] for k in data if k"'!='"'operations'})
    print('ops', len(data['operations']))
    print('first', data['operations'][:10])
PY"
shell
/bin/zsh -lc "python3 - <<'PY'
import json
from pathlib import Path
p=Path('data/operations.json')
print(p.exists(), p.stat().st_size if p.exists() else None)
if p.exists():
    data=json.loads(p.read_text())
    print(data.keys())
    print({k:data[k] for k in data if k"'!='"'operations'})
    print('ops', len(data['operations']))
    print('first', data['operations'][:10])
PY"
output
True 552
dict_keys(['capacity', 'protected_capacity', 'default_ttl', 'miss', 'reset_interval', 'operations'])
{'capacity': 9, 'protected_capacity': 4, 'default_ttl': 8, 'miss': -1, 'reset_interval': 7}
ops 22
first [['put', 1, 100, 2], ['put', 2, 200, 2], ['put', 3, 300, 1], ['get', 1], ['get', 2], ['get', 1], ['put', 4, 400, 2], ['get', 3], ['get', 1], ['put', 5, 500, 2]]
The trace is small, but the rule set has enough edge cases that I’m going to make the simulator explicit: two ordered segments, persistent frequencies, expiry sweep before each op, and separate paths for update vs admission.
shell
/bin/zsh -lc "sed -n '1,240p' main.py"
shell
/bin/zsh -lc "sed -n '1,240p' main.py"
output
# 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)
shell
/bin/zsh -lc "sed -n '1,220p' instruction.md"
shell
/bin/zsh -lc "sed -n '1,220p' instruction.md"
output
We run a small caching layer in front of an expensive service, and I have captured a trace of operations that hit it. I need you to replay that trace exactly and report what the cache ends up doing. The catch is that this is not a plain least-recently-used cache. It is segmented, entries expire on a logical clock, the capacity is measured in weight rather than in a count of keys, and admission of a new key is gated by how often that key has been seen. The eviction behaviour is therefore fussier than the textbook version, so please follow the rules below to the letter, because several of them are exactly where a casual implementation goes wrong.

The trace lives at data/operations.json. It is a JSON object. The field capacity is a positive integer: it is the total weight budget the whole cache is allowed to hold. The field protected_capacity is a positive integer no larger than capacity: it is the weight budget of the protected segment specifically. The field default_ttl is a positive integer used to compute expiry times, explained below. The field miss is an integer that you must return as the result of any lookup that does not find a live entry, instead of the conventional minus one. The field reset_interval is a positive integer that controls how often the frequency estimates are aged, explained below. The field operations is a list of operations to apply in order. A write looks like the four element list put, then an integer key, then an integer value, then an integer cost of at least one, which is that entry's weight. A read looks like the two element list get, then an integer key.

There is a logical clock. It starts at zero, and it advances by one just before each operation is processed, so the first operation in the trace happens at clock time one, the second at time two, and so on. Whenever an entry is written or is successfully read, its expiry time is set to the current clock time plus default_ttl. An entry is considered expired, and must be treated as if 
… (+7746 chars truncated)
shell
/bin/zsh -lc "sed -n '1,200p' task.toml"
shell
/bin/zsh -lc "sed -n '1,200p' task.toml"
output
version = "1.0"

difficulty = "hard"
category = "swe"
tags = ["data-structures", "lru-cache", "segmented-cache", "ttl-expiry", "weighted-eviction", "simulation", "python"]

[verifier]
timeout_sec = 120.0

[agent]
timeout_sec = 600.0

[environment]
build_timeout_sec = 600.0
cpus = 1
memory = "2G"
storage = "4G"
I found `main.py` is just the placeholder writer. I’m replacing it with a deterministic simulator now, keeping the state transitions small enough that each rule maps directly to one helper.
write · /var/folders/4w/8dz5qwsn6p79xjvgb6gwgs640000gn/T/eval-platform-local-_hwagfw7/workspace/main.py
(empty file)
write · /var/folders/4w/8dz5qwsn6p79xjvgb6gwgs640000gn/T/eval-platform-local-_hwagfw7/workspace/main.py
(empty file)
write · /var/folders/4w/8dz5qwsn6p79xjvgb6gwgs640000gn/T/eval-platform-local-_hwagfw7/workspace/main.py
(empty file)
write · /var/folders/4w/8dz5qwsn6p79xjvgb6gwgs640000gn/T/eval-platform-local-_hwagfw7/workspace/main.py
(empty file)
The implementation is in place. I’m running it now and checking both the generated result and basic invariants like segment weights and key ordering.
shell
/bin/zsh -lc 'python3 -m py_compile main.py'
shell
/bin/zsh -lc 'python3 -m py_compile main.py'
shell
/bin/zsh -lc 'python3 main.py && python3 -m json.tool output/result.json'
shell
/bin/zsh -lc 'python3 main.py && python3 -m json.tool 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
}
The script runs and writes `output/result.json`. I’m doing one more pass over the trace behavior because the tricky parts are promotion demotion and frequency-gated rejection, where off-by-one timing bugs are easy.
shell
/bin/zsh -lc 'git diff -- main.py output/result.json'
shell
/bin/zsh -lc 'git diff -- main.py output/result.json'
output
diff --git a/main.py b/output/result.json
index abf097a..2a9a0e3 100644
--- a/main.py
+++ b/output/result.json
@@ -1,202 +1 @@
-import json
-import os
-from collections import OrderedDict, defaultdict
-from dataclasses import dataclass
-
-
-@dataclass
-class Entry:
-    value: int
-    cost: int
-    expires_at: int
-
-
-class SegmentedCache:
-    def __init__(self, capacity, protected_capacity, default_ttl, miss, reset_interval):
-        self.capacity = capacity
-        self.protected_capacity = protected_capacity
-        self.default_ttl = default_ttl
-        self.miss = miss
-        self.reset_interval = reset_interval
-
-        self.clock = 0
-        self.processed = 0
-        self.rejected = 0
-        self.get_results = []
-
-        self.probation = OrderedDict()
-        self.protected = OrderedDict()
-        self.frequency = defaultdict(int)
-
-    def total_weight(self):
-        return self.segment_weight(self.probation) + self.segment_weight(self.protected)
-
-    @staticmethod
-    def segment_weight(segment):
-        return sum(entry.cost for entry in segment.values())
-
-    def sweep_expired(self):
-        self._sweep_segment(self.probation)
-        self._sweep_segment(self.protected)
-
-    def _sweep_segment(self, segment):
-        expired = [key for key, entry in segment.items() if entry.expires_at <= self.clock]
-        for key in expired:
-            del segment[key]
-
-    def process(self, operation):
-        self.clock += 1
-        self.sweep_expired()
-
-        op = operation[0]
-        key = operation[1]
-        self.frequency[key] += 1
-
-        if op == "get":
-            self.get(key)
-        elif op == "put":
-            _, _, value, cost = operation
-            self.put(key, value, cost)
-        else:
-            raise ValueError(f"unknown operation: {op}")
-
-        self.processed += 1
-        if self.processed % self.reset_interval == 0:
-            self.age_frequencies()
-
-    def get(self, key):
-    
… (+4832 chars truncated)
shell
/bin/zsh -lc "python3 - <<'PY'
import json
with open('data/operations.json') as f:
    data=json.load(f)
for i, op in enumerate(data['operations'], 1):
    print(i, op)
PY"
shell
/bin/zsh -lc "python3 - <<'PY'
import json
with open('data/operations.json') as f:
    data=json.load(f)
for i, op in enumerate(data['operations'], 1):
    print(i, op)
PY"
output
1 ['put', 1, 100, 2]
2 ['put', 2, 200, 2]
3 ['put', 3, 300, 1]
4 ['get', 1]
5 ['get', 2]
6 ['get', 1]
7 ['put', 4, 400, 2]
8 ['get', 3]
9 ['get', 1]
10 ['put', 5, 500, 2]
11 ['get', 2]
12 ['get', 99]
13 ['put', 6, 600, 3]
14 ['get', 4]
15 ['put', 7, 700, 4]
16 ['get', 1]
17 ['get', 2]
18 ['put', 8, 800, 1]
19 ['get', 3]
20 ['put', 1, 150, 2]
21 ['get', 8]
22 ['get', 77]
The run produced the expected artifact. One diff command compared two files directly because `output/result.json` is untracked, so I’m switching to status plus targeted file checks instead of relying on that output.
shell
/bin/zsh -lc 'git status --short'
shell
/bin/zsh -lc 'git diff -- main.py'
shell
/bin/zsh -lc 'git status --short'
output
fatal: not a git repository (or any of the parent directories): .git
shell
/bin/zsh -lc 'git diff -- main.py'
output
warning: Not a git repository. Use --no-index to compare two paths outside a working tree
usage: git diff --no-index [<options>] <path> <path>

Diff output format options
    -p, --patch           generate patch
    -s, --no-patch        suppress diff output
    -u                    generate patch
    -U, --unified[=<n>]   generate diffs with <n> lines context
    -W, --[no-]function-context
                          generate diffs with <n> lines context
    --raw                 generate the diff in raw format
    --patch-with-raw      synonym for '-p --raw'
    --patch-with-stat     synonym for '-p --stat'
    --numstat             machine friendly --stat
    --shortstat           output only the last line of --stat
    -X, --dirstat[=<param1>,<param2>...]
                          output the distribution of relative amount of changes for each sub-directory
    --cumulative          synonym for --dirstat=cumulative
    --dirstat-by-file[=<param1>,<param2>...]
                          synonym for --dirstat=files,<param1>,<param2>...
    --check               warn if changes introduce conflict markers or whitespace errors
    --summary             condensed summary such as creations, renames and mode changes
    --name-only           show only names of changed files
    --name-status         show only names and status of changed files
    --stat[=<width>[,<name-width>[,<count>]]]
                          generate diffstat
    --stat-width <width>  generate diffstat with a given width
    --stat-name-width <width>
                          generate diffstat with a given name width
    --stat-graph-width <width>
                          generate diffstat with a given graph width
    --stat-count <count>  generate diffstat with limited lines
    --[no-]compact-summary
                          generate compact summary in diffstat
    --binary              output a binary diff that can be applied
    --[no-]full-index     show full pre- and post-image object names o
… (+5365 chars truncated)
shell
/bin/zsh -lc "python3 - <<'PY'
import json
from pathlib import Path
result = json.loads(Path('output/result.json').read_text())
print(list(result))
print('gets', len(result['get_results']))
print('probation', result['final_probation'])
print('protected', result['final_protected'])
print('total_weight', result['total_weight'])
print('rejected', result['rejected'])
PY"
shell
/bin/zsh -lc "python3 - <<'PY'
import json
from pathlib import Path
result = json.loads(Path('output/result.json').read_text())
print(list(result))
print('gets', len(result['get_results']))
print('probation', result['final_probation'])
print('protected', result['final_protected'])
print('total_weight', result['total_weight'])
print('rejected', result['rejected'])
PY"
output
['get_results', 'final_probation', 'final_protected', 'total_weight', 'rejected']
gets 13
probation [[2, 200]]
protected [[1, 150], [8, 800]]
total_weight 5
rejected 2
There’s no Git repository in this workspace, so there isn’t a tracked diff to summarize. The runtime checks passed: `main.py` compiles, runs with no arguments, and the result file contains exactly the five required keys.
shell
/bin/zsh -lc 'ls -l output/result.json'
shell
/bin/zsh -lc 'ls -l output/result.json'
output
-rw-r--r--  1 jaykumar  staff  185 Jun 17 16:09 output/result.json
shell
/bin/zsh -lc "python3 - <<'PY'
import json
from pathlib import Path
with open('data/operations.json') as f:
    data = json.load(f)
with open('output/result.json') as f:
    result = json.load(f)
assert set(result) == {'get_results', 'final_probation', 'final_protected', 'total_weight', 'rejected'}
assert len(result['get_results']) == sum(1 for op in data['operations'] if op[0] == 'get')
assert Path('output/result.json').is_file()
print('validated')
PY"
shell
/bin/zsh -lc "python3 - <<'PY'
import json
from pathlib import Path
with open('data/operations.json') as f:
    data = json.load(f)
with open('output/result.json') as f:
    result = json.load(f)
assert set(result) == {'get_results', 'final_probation', 'final_protected', 'total_weight', 'rejected'}
assert len(result['get_results']) == sum(1 for op in data['operations'] if op[0] == 'get')
assert Path('output/result.json').is_file()
print('validated')
PY"
output
validated
Implemented the cache replay in [main.py](/var/folders/4w/8dz5qwsn6p79xjvgb6gwgs640000gn/T/eval-platform-local-_hwagfw7/workspace/main.py) and generated [output/result.json](/var/folders/4w/8dz5qwsn6p79xjvgb6gwgs640000gn/T/eval-platform-local-_hwagfw7/workspace/output/result.json). Result: ```json { "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 } ``` Verified with `python3 -m py_compile main.py`, `python3 main.py`, and a small validation check that the output file exists and has exactly the required keys.
Final diff , what the agent changed
--- a/main.py
+++ b/main.py
@@ -1,33 +1,202 @@
-# 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 OrderedDict, defaultdict
+from dataclasses import dataclass
+
+
+@dataclass
+class Entry:
+ value: int
+ cost: int
+ expires_at: int
+
+
+class SegmentedCache:
+ def __init__(self, capacity, protected_capacity, default_ttl, miss, reset_interval):
+ self.capacity = capacity
+ self.protected_capacity = protected_capacity
+ self.default_ttl = default_ttl
+ self.miss = miss
+ self.reset_interval = reset_interval
+
+ self.clock = 0
+ self.processed = 0
+ self.rejected = 0
+ self.get_results = []
+
+ self.probation = OrderedDict()
+ self.protected = OrderedDict()
+ self.frequency = defaultdict(int)
+
+ def total_weight(self):
+ return self.segment_weight(self.probation) + self.segment_weight(self.protected)
+
+ @staticmethod
+ def segment_weight(segment):
+ return sum(entry.cost for entry in segment.values())
+
+ def sweep_expired(self):
+ self._sweep_segment(self.probation)
+ self._sweep_segment(self.protected)
+
+ def _sweep_segment(self, segment):
+ expired = [key for key, entry in segment.items() if entry.expires_at <= self.clock]
+ for key in expired:
+ del segment[key]
+
+ def process(self, operation):
+ self.clock += 1
+ self.sweep_expired()
+
+ op = operation[0]
+ key = operation[1]
+ self.frequency[key] += 1
+
+ if op == "get":
+ self.get(key)
+ elif op == "put":
+ _, _, value, cost = operation
+ self.put(key, value, cost)
+ else:
+ raise ValueError(f"unknown operation: {op}")
+
+ self.processed += 1
+ if self.processed % self.reset_interval == 0:
+ self.age_frequencies()
+
+ def get(self, key):
+ if key in self.protected:
+ entry = self.protected[key]
+ entry.expires_at = self.clock + self.default_ttl
+ self.protected.move_to_end(key)
+ self.get_results.append(entry.value)
+ return
+
+ if key in self.probation:
+ entry = self.probation.pop(key)
+ entry.expires_at = self.clock + self.default_ttl
+ self.protected[key] = entry
+ self.get_results.append(entry.value)
+ self.demote_until_protected_fits()
+ return
+
+ self.get_results.append(self.miss)
+
+ def put(self, key, value, cost):
+ if key in self.probation:
+ entry = self.probation[key]
+ entry.value = value
+ entry.cost = cost
+ entry.expires_at = self.clock + self.default_ttl
+ self.probation.move_to_end(key)
+ self.evict_after_update(key)
+ return
+
+ if key in self.protected:
+ entry = self.protected[key]
+ entry.value = value
+ entry.cost = cost
+ entry.expires_at = self.clock + self.default_ttl
+ self.protected.move_to_end(key)
+ self.evict_after_update(key)
+ return
+
+ self.admit_new(key, value, cost)
+
+ def demote_until_protected_fits(self):
+ while self.segment_weight(self.protected) > self.protected_capacity:
+ key, entry = self.protected.popitem(last=False)
+ self.probation[key] = entry
+
+ def evict_after_update(self, updated_key):
+ while self.total_weight() > self.capacity:
+ victim = self.next_update_victim(updated_key)
+ if victim is None:
+ break
+ segment, key = victim
+ del segment[key]
+
+ def next_update_victim(self, updated_key):
+ for key in self.probation:
+ if key != updated_key:
+ return self.probation, key
+ for key in self.protected:
+ if key != updated_key:
+ return self.protected, key
+ return None
+
+ def admit_new(self, key, value, cost):
+ if cost > self.capacity:
+ self.rejected += 1
+ return
+
+ room_needed = self.total_weight() + cost - self.capacity
+ victims = []
+ if room_needed > 0:
+ freed = 0
+ new_frequency = self.frequency[key]
+
+ for candidate_key, _ in self.probation.items():
+ if self.frequency[candidate_key] >= new_frequency:
+ self.rejected += 1
+ return
+ victims.append((self.probation, candidate_key))
+ freed += self.probation[candidate_key].cost
+ if freed >= room_needed:
+ break
+
+ if freed < room_needed:
+ for candidate_key, _ in self.protected.items():
+ if self.frequency[candidate_key] >= new_frequency:
+ self.rejected += 1
+ return
+ victims.append((self.protected, candidate_key))
+ freed += self.protected[candidate_key].cost
+ if freed >= room_needed:
+ break
+
+ for segment, victim_key in victims:
+ del segment[victim_key]
+
+ self.probation[key] = Entry(
+ value=value,
+ cost=cost,
+ expires_at=self.clock + self.default_ttl,
+ )
+
+ def age_frequencies(self):
+ for key in list(self.frequency):
+ self.frequency[key] //= 2
+
+ def result(self):
+ return {
+ "get_results": self.get_results,
+ "final_probation": [[key, entry.value] for key, entry in self.probation.items()],
+ "final_protected": [[key, entry.value] for key, entry in self.protected.items()],
+ "total_weight": self.total_weight(),
+ "rejected": self.rejected,
+ }
+
+
+def main():
+ with open("data/operations.json") as f:
+ data = json.load(f)
+
+ cache = SegmentedCache(
+ capacity=data["capacity"],
+ protected_capacity=data["protected_capacity"],
+ default_ttl=data["default_ttl"],
+ miss=data["miss"],
+ reset_interval=data["reset_interval"],
+ )
+
+ for operation in data["operations"]:
+ cache.process(operation)
+
+ os.makedirs("output", exist_ok=True)
+ with open("output/result.json", "w") as f:
+ json.dump(cache.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 0.26s ==============================

Reproduce this trial: git checkout 2f94510 && PYTHONPATH=src python3 scripts/build_site.py , then open trial/trial_44c1f34582fc4130. Re-running the agent live requires EVAL_PLATFORM_ENABLE_OAUTH_SMOKE=1 and is non-deterministic.

Trial trial_44c1f34582fc4130 · verifier authoritative; classifier explanatory.