files/data_io/encoders/latency_encoder.py


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import numpy as np
import torch
from .base_encoder import BaseEncoder

class LatencyEncoder(BaseEncoder):
    """Encode input intensity into spike latency."""
    def __init__(self):
        pass

    def encode(self, data: np.ndarray) -> torch.Tensor:
        # TODO: map value→time delay
        spikes = torch.zeros(10, data.size)  # placeholder
        return spikes