code: def prev_widen(self, indices, magnifier, noise=None):
      old_size = np.max(indices) + 1
      prev_miniblock_out_dim = old_size
      for miniblock in self.miniblocks:
          miniblock_out_dim = miniblock.out_features_dim
          miniblock.prev_widen(indices, magnifier, noise=noise)
          indices = np.concatenate(
              [
                  indices,
                  np.arange(
                      prev_miniblock_out_dim,
                      prev_miniblock_out_dim + miniblock_out_dim,
                  ),
              ]
          )
          magnifier = np.concatenate(
              [
                  magnifier,
                  [1] * miniblock_out_dim,
              ]
          )
          prev_miniblock_out_dim += miniblock_out_dim
      return True, indices, magnifier
  
imports: import tensorflow
  from models.basic_model import BasicModel
  from models.layers import ConvLayer, FCLayer, PoolLayer, get_magnifier, apply_noise
  from data_providers.base_provider import DataProvider
  from models.layer_cascade import LayerCascade
  from models.layer_multi_branch import LayerMultiBranch
  import numpy
label_desc: Use image node_id 11 for calling the DenseBlock obj's underlying member method code with example usage: obj.prev_widen(indices, magnifier, noise) and returns: True,  indices,  magnifier