| """Generate a random baseline submission (random.parquet).""" |
|
|
| from pathlib import Path |
|
|
| import numpy as np |
| import pandas as pd |
|
|
| PAIR_TIMESTEPS = { |
| 1: 500, |
| 2: 2000, |
| 3: 500, |
| 4: 2000, |
| 5: 500, |
| 6: 1500, |
| 7: 1500, |
| 8: 500, |
| 9: 500, |
| } |
|
|
| SPATIAL_DIM = 19400 |
| FEATURE_COLS = [f"f{i}" for i in range(1, SPATIAL_DIM + 1)] |
| OUT_FILE = Path(__file__).parent / "random.parquet" |
|
|
|
|
| def main(): |
| rng = np.random.default_rng(seed=43) |
| total_rows = sum(PAIR_TIMESTEPS.values()) |
|
|
| ids = [] |
| pair_ids = [] |
| timesteps = [] |
| for pair_id, n_ts in PAIR_TIMESTEPS.items(): |
| ids.extend(f"{pair_id}_{t}" for t in range(n_ts)) |
| pair_ids.extend([pair_id] * n_ts) |
| timesteps.extend(range(n_ts)) |
|
|
| df = pd.DataFrame(rng.standard_normal((total_rows, SPATIAL_DIM)), columns=FEATURE_COLS) |
| df.insert(0, "id", ids) |
| df.insert(1, "pair_id", pair_ids) |
| df.insert(2, "timestep", timesteps) |
|
|
| df.to_parquet(OUT_FILE, index=False) |
| print(f"Wrote {len(df)} rows to {OUT_FILE}") |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|