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style(docs): format all docstrings to max 85 chars per line
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pytorch_forecasting/data/_tslib_data_module.py

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@@ -556,6 +556,7 @@ def _preprocess_data(self, idx: torch.Tensor) -> list[dict[str, Any]]:
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- The target data `y` and features `x` are converted to torch.float32 tensors.
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- The timepoints before the cutoff time are masked off.
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- Splits data into categorical and continous features, which are grouped based on the indices.
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""" # noqa: E501
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series = self.time_series_dataset[idx]

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