def METHOD_NAME(
    pts: torch.Tensor, min_bin: torch.types.Number = 2.3125, max_bin: torch.types.Number = 21.6875, no_bins: int = 64
) -> torch.Tensor:
    boundaries = torch.linspace(min_bin, max_bin, no_bins - 1, device=pts.device)
    dists = torch.sqrt(torch.sum((pts.unsqueeze(-2) - pts.unsqueeze(-3)) ** 2, dim=-1))
    return torch.bucketize(dists, boundaries)