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allow pairs deeper in the queue to get trained if the higher priority pairs dont need training
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@ -348,7 +348,8 @@ class IFreqaiModel(ABC):
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# f'{sorted(self.data_drawer.pair_dict.items(), key=lambda item: item[1])}')
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dh.save_data(model, coin=metadata['pair'])
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self.data_drawer.pair_to_end_of_training_queue(metadata['pair'])
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if self.data_drawer.pair_dict[metadata['pair']['priority']] == 1:
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self.data_drawer.pair_to_end_of_training_queue(metadata['pair'])
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self.training_on_separate_thread = False
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self.retrain = False
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return
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