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Use future annotations
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adaptive/learner/data_saver.py

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@@ -1,3 +1,5 @@
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from __future__ import annotations
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import functools
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from collections import OrderedDict
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@@ -91,7 +93,7 @@ def load_dataframe(
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df: pandas.DataFrame,
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extra_data_name: str = "extra_data",
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input_names: tuple[str] = (),
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**kwargs
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**kwargs,
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):
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"""Load the data from a `pandas.DataFrame` into the learner.
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