# Kaggle Submission Instructions

## Current Status: LB 6059.08 (V25), Target: 6100

## How to Submit (Kaggle Notebook)

```python
# In a Kaggle notebook with neurogolf-2026 competition data:

!pip install onnx onnxruntime numpy

# Clone repo
!git clone https://huggingface.co/rogermt/neurogolf-solver /kaggle/working/neurogolf-solver

# Run swap_and_submit
import os
os.chdir('/kaggle/working/neurogolf-solver/medal-solvers')

!python swap_and_submit.py \
    --base /kaggle/working/neurogolf-solver/submission-6043.zip \
    --task-data-dir /kaggle/input/competitions/neurogolf-2026 \
    --output /kaggle/working/submission.zip
```

## What swap_and_submit.py does:
1. Opens submission-6043.zip (base submission)
2. Auto-discovers ALL .onnx files in `optimized/` folder:
   - `optimized/task084.onnx` (~12 pts, +2.56 from base)
   - `optimized/task153.onnx` (**V4: 14.0 pts local**, fixes Kaggle discrepancy)
   - `optimized/task255.onnx` (11.570 pts, +4.93 from base)
   - `optimized/task319.onnx` (11.580 pts, +3.66 from base)
3. Validates each model against task data (0 failures required)
4. Creates new submission.zip with replaced models

## Task 153 V4 — Key Change

V4 eliminates the multi-dimensional Gather `[9,3,3]` pattern that caused 
the Kaggle scoring discrepancy (13.83 local vs 7.92 Kaggle in V3).

**Expected impact**: If Kaggle matches local, task153 goes from ~7.92 → ~14 = **+6 pts**

## Score Budget (with V4)

| Task | Base | V25 LB | V4 Expected | Expected Gain vs V25 |
|------|------|--------|-------------|---------------------|
| 084 | ~9.4 | ~12 | ~12 | — |
| 153 | 4.91 | ~7.92 | ~14.0 | **+6.0** |
| 255 | 6.64 | 11.57 | 11.57 | — |
| 285 | 5.98 | 8.82 | 8.82 | — |
| 319 | 7.92 | 11.58 | 11.58 | — |
| **Total Expected** | | **6059.08** | **~6065** | **+6** |

## Remaining Gap After V4: ~35 pts to 6100

Need to optimize 5-7 more tasks at +5 pts each to reach 6100.
Priority targets: task366, task025, task158, task118, task209.

## Important Notes

- **task285.onnx** is NOT in the optimized/ folder — it was already included 
  in the original V13 submission. The base zip (submission-6043.zip) already 
  uses the optimized task285.
- Always validate before submitting: a model with ANY failures scores only 1.0!
- File size limit per model: 1,509,949 bytes