planning.allocate-workshops-002
Task inputs, individual runs, tool traces, independent verification and usage.
Evidence snapshot ·
planning.allocate-workshops-002files · v0.2Strict passes 1/1 submitted · not submitted 0Passed1 records
Capability: Joint constrained optimization
Goal: Find a feasible optimal allocation; retain historical unit ambiguity
Independent verification: Independent enumeration of feasible optima and output constraints
User task
Read brief.md and all six CSVs under inputs/ in your local phone workspace and allocate every workshop under the stated constraints and optimization priorities. Save schedule.json as one object with exactly the keys schedule, completion_time, total_cost. schedule is an array containing exactly one entry per workshop, in any order. Each entry has exactly workshop_id, candidate_id, room_id, start, end; times must be offset-bearing RFC3339 timestamps and agree with the selected candidate and duration. completion_time is the final workshop end as an offset-bearing RFC3339 timestamp, and total_cost is the amount in CNY yuan, expressed as a JSON number or decimal string with at most two fractional digits. For example, CNY 12.50 is 12.50 or "12.50", never 1250. Do not encode an integer count of cents. Respect the stated budget, participant/room capacity, availability, occupied intervals, 15-minute gaps and dependencies. Choose the earliest program completion, then the lowest cost at that completion; any tied optimum is accepted. Preserve all existing files and directories. Create only schedule.json, with no scratch files or directories. Do not book meetings or perform external actions.
Resources and protocol
ios.workspace.files · state-verification
Default task timeout: 300s; individual samples may have approved overrides. Counts include only matching task hashes. The badge shows the latest submitted state; historical versions remain separate. Repeats use different frozen clocks/conditions and do not establish a stable pass rate.
brief.md724 bytesinputs/workshops.csv182 bytesinputs/candidates.csv643 bytesinputs/rooms.csv66 bytesinputs/availability.csv181 bytesinputs/occupied.csv134 bytesinputs/dependencies.csv64 bytesprotected/keep.txt48 bytes
sample-c1a589953e04387aPassed83,499 tokens
Tool trace saved
Only the recorded tool-call order is shown, without arguments, result bodies or reasoning. This is not a full reasoning trace.
- 01
ListFilessuccess - 02
ReadFilesuccess - 03
ListFilessuccess - 04
ListFilessuccess - 05
ReadFilesuccess - 06
ReadFilesuccess - 07
ReadFilesuccess - 08
ReadFilesuccess - 09
ReadFilesuccess - 10
ReadFilesuccess - 11
ReadFilesuccess - 12
WriteFilesuccess - 13
ListFilessuccess
Independent verification 16 assertions
- ✓ Passed
baseline_fixture_matches - ✓ Passed
workspace_identity_unchanged - ✓ Passed
source_files_unchanged - ✓ Passed
no_extra_paths - ✓ Passed
no_unsafe_paths - ✓ Passed
output_files_present - ✓ Passed
schedule_format_valid - ✓ Passed
workshops_complete - ✓ Passed
candidate_times_correct - ✓ Passed
availability_capacity_correct - ✓ Passed
resource_conflicts_absent - ✓ Passed
prerequisites_satisfied - ✓ Passed
budget_satisfied - ✓ Passed
schedule_totals_consistent - ✓ Passed
earliest_completion - ✓ Passed
lowest_cost_at_earliest
Usage Saved Session responses (some requests may be missing)
Complete Coverage: known records / saved records; not a complete billing statement.
| Metric | tokens | Coverage |
|---|---|---|
| Total input | 72,242 | 7/7 |
| Of which cached input | 68,992 | 7/7 |
| Uncached input | 3,250 | 7/7 |
| Output | 11,257 | 7/7 |
| Input + output | 83,499 | 7/7 |
Model requests — · saved responses 7
Preparation / continuation requests —/—. Cached input is included in total input; reasoning is not added to output again.
Source identity and evidence hashes
- Run started
- 2026-10-12T13:28:19.730983+00:00
- task
d9dbce7247ba4908ae6abb6f9f832da0377149dd34011cfd1d29a0f324dde03a- binary
2296cead77ac77274cff68e9234f903a3af4cee768d2b97d8b42f16928dc72c9- Eval execution
None- cohort
None- model
- {'provider': 'DeepSeek', 'model': 'deepseek-flash', 'thinking': 'not_recorded'}
- manifest
7c72a7a240ee1a988dd968278e65329820568eaa98ef1a73b5ea7d925e3b4d17- result
f6ec7de0282f13c961317e84be98de82b7d60b0702a7e5f9c8caeb8159ef748a- run
a9f0534bd2ccf5abf5f3c272ab7019711bb0daf0f44323bc080eb637dc3fcd0f- evidence
6f2e981c68e442f4a20ce5af501cf47a894ba6af46792698d9844a3368a48bbc- usage
5da2befa84cea4e772be9cc3969b52b19ba74d57becedb18d0c1b95f15143d77
Hashes identify private source materials. Raw Sessions are not included; hashes alone cannot reproduce business scoring.
Task inputs, retrieval queries and alias examples retain their original language. Downloads preserve the original evaluation data.