files/data_io/encoders/rank_order_encoder.py


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import numpy as np
import torch
from .base_encoder import BaseEncoder

class RankOrderEncoder(BaseEncoder):
    """Encode by rank order of input features."""
    def encode(self, data: np.ndarray) -> torch.Tensor:
        # TODO: implement rank order conversion
        spikes = torch.zeros(10, data.size)  # placeholder
        return spikes