     Returns:
            A tuple containing the following tensors:
            - reshaped_lagged_sequence (`torch.Tensor`): A tensor of shape `(batch_size, sequence_length, num_lags *
              input_size)` containing the lagged subsequences of the inputs.
            - features (`torch.Tensor`): A tensor of shape `(batch_size, sequence_length, num_features)` containing the
              concatenated static and time features.
            - loc (`torch.Tensor`): A tensor of shape `(batch_size, input_size)` containing the mean of the input
              values.
            - scale (`torch.Tensor`): A tensor of shape `(batch_size, input_size)` containing the std of the input
              values.
            - static_feat (`torch.Tensor`): A tensor of shape `(batch_size, num_static_features)` containing the
              concatenated static features.
        N.r