Python Code Analysis: Understanding seq_x, seq_y and Time Feature Encoding

This code snippet demonstrates the assignment of 'seq_x' and 'seq_y' using the values from 'self.data_x[index]'. However, it appears there might be an error in the assignment of 'seq_y', as it's likely intended to be assigned a different value, potentially an empty tensor. Currently, both 'seq_x' and 'seq_y' are assigned the same value from 'self.data_x[index]', which could be incorrect.

Additionally, 'seq_x_mark' and 'seq_y_mark' are calculated by applying the 'time_features' function to 'self.data_stamp[index]'. This function seems to encode the time information present in the given timestamp using the specified time encoding method ('self.timeenc') and frequency ('self.freq').