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diff --git a/files/data_io/encoders/rank_order_encoder.py b/files/data_io/encoders/rank_order_encoder.py
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+++ b/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