Update some areas to use default docstring formatting
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@@ -163,13 +163,12 @@ class FreqaiDataDrawer:
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Locate and load existing model metadata from persistent storage. If not located,
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create a new one and append the current pair to it and prepare it for its first
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training
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:params:
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metadata: dict = strategy furnished pair metadata
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:returns:
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model_filename: str = unique filename used for loading persistent objects from disk
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trained_timestamp: int = the last time the coin was trained
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coin_first: bool = If the coin is fresh without metadata
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return_null_array: bool = Follower could not find pair metadata
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:param pair: str: pair to lookup
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:return:
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model_filename: str = unique filename used for loading persistent objects from disk
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trained_timestamp: int = the last time the coin was trained
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coin_first: bool = If the coin is fresh without metadata
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return_null_array: bool = Follower could not find pair metadata
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"""
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pair_in_dict = self.pair_dict.get(pair)
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data_path_set = self.pair_dict.get(pair, {}).get("data_path", None)
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@@ -277,13 +276,12 @@ class FreqaiDataDrawer:
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)
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df = pd.concat([prepend_df, df], axis=0)
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def attach_return_values_to_return_dataframe(self, pair: str, dataframe) -> DataFrame:
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def attach_return_values_to_return_dataframe(
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self, pair: str, dataframe: DataFrame) -> DataFrame:
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"""
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Attach the return values to the strat dataframe
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:params:
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dataframe: DataFrame = strat dataframe
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:returns:
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dataframe: DataFrame = strat dataframe with return values attached
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:param dataframe: DataFrame = strategy dataframe
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:return: DataFrame = strat dataframe with return values attached
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"""
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df = self.model_return_values[pair]
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to_keep = [col for col in dataframe.columns if not col.startswith("&")]
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