"""Capture block-0 AdaLN gates for direct residual parity diagnostics."""

from pathlib import Path


model = Path("/opt/ComfyUI/comfy/ldm/minimax/model.py")
source = model.read_text(encoding="utf-8")
old = (
    'torch.save({"norm": norm1.detach().cpu(), "shift": shift_msa.detach().cpu(), '
    '"scale": scale_msa.detach().cpu(), "effective_weight": effective_weight.detach().cpu(), '
    '"effective_bias": effective_bias.detach().cpu()}, os.path.join(capture_dir, "block0_norm1_adaln.pt"))'
)
new = (
    'torch.save({"norm": norm1.detach().cpu(), "shift": shift_msa.detach().cpu(), '
    '"scale": scale_msa.detach().cpu(), "gate_msa": gate_msa.detach().cpu(), '
    '"gate_mlp": gate_mlp.detach().cpu(), "effective_weight": effective_weight.detach().cpu(), '
    '"effective_bias": effective_bias.detach().cpu()}, os.path.join(capture_dir, "block0_norm1_adaln.pt"))'
)
if source.count(old) == 1:
    source = source.replace(old, new)
elif new not in source:
    raise RuntimeError("Unable to locate block-0 AdaLN capture payload.")
model.write_text(source, encoding="utf-8")
print("Added H3 block-0 AdaLN gate capture.")