src/submission_utils.py

import zipfile
from pathlib import Path
import numpy as np

EXPECTED_OOD_KEYS = {
    "chaplin1", "chaplin2",
    "mononoke1", "mononoke2",
    "passepartout1", "passepartout2",
    "planetearth1", "planetearth2",
    "pulpfiction1", "pulpfiction2",
    "wot1", "wot2",
}

EXPECTED_SUBJECTS = {"sub-01", "sub-02", "sub-03", "sub-05"}

def load_fmri_num_samples(datasets_root: Path, test_set_name: str) -> dict[str, dict[str, int]]:
    """Load per-subject, per-episode fMRI sample counts for the test set."""
    if test_set_name == "friends-s7":
        file_pattern = "friends-s7"
    elif test_set_name == "ood":
        file_pattern = "ood"
    else:
        raise ValueError(f"Unknown test set: {test_set_name}")

    fmri_dir = datasets_root / "algonauts_2025.competitors" / "fmri"
    sample_paths = sorted(fmri_dir.rglob(f"*_{file_pattern}_fmri_samples.npy"))

    if not sample_paths:
        raise FileNotFoundError(
            f"No fmri_samples files found for {test_set_name} in {fmri_dir}. "
            f"Expected pattern: *_{file_pattern}_fmri_samples.npy"
        )

    fmri_num_samples = {}
    for path in sample_paths:
        sub = path.parents[1].name
        fmri_num_samples[sub] = np.load(path, allow_pickle=True).item()

    print(f"  Loaded fmri_num_samples for {list(fmri_num_samples.keys())}")
    return fmri_num_samples

def print_summary(predictions: dict[str, dict[str, np.ndarray]]):
    """Print a summary of the generated predictions."""
    for subject, episodes_dict in predictions.items():
        print(f"  {subject}: {len(episodes_dict)} episodes")
        for episode, pred in episodes_dict.items():
            print(f"    {episode}: {pred.shape} {pred.dtype}")

def save_predictions(
    predictions: dict[str, dict[str, np.ndarray]],
    test_set_name: str,
    out_dir: Path,
):
    """Save predictions as .npy and .zip files."""
    file_name = f"fmri_predictions_{test_set_name.replace('-', '_')}"

    npy_path = out_dir / f"{file_name}.npy"
    np.save(npy_path, predictions)
    print(f"  Saved: {npy_path}")

    zip_path = out_dir / f"{file_name}.zip"
    with zipfile.ZipFile(zip_path, "w") as zipf:
        zipf.write(npy_path, npy_path.name)
    print(f"  Saved: {zip_path}")