code: def widen(
      self,
      loc,
      new_width,
      widen_type="output_dim",
      noise=None,
      input_dim=3,
  ):
      miniblock_idx = loc["miniblock"]
      miniblock = self.miniblocks[miniblock_idx]
      old_miniblock_out_dim = miniblock.out_features_dim
      change_out_dim, indices, magnifier = miniblock.widen(
          loc, new_width, widen_type, noise=noise
      )
      if change_out_dim:
          prev_miniblock_out_dim = input_dim
          for _i in range(0, miniblock_idx):
              prev_miniblock_out_dim += self.miniblocks[
                  _i
              ].out_features_dim
          indices = np.concatenate(
              [
                  np.arange(prev_miniblock_out_dim),
                  indices + prev_miniblock_out_dim,
              ]
          )
          magnifier = np.concatenate(
              [
                  [1] * prev_miniblock_out_dim,
                  magnifier,
              ]
          )
          prev_miniblock_out_dim += old_miniblock_out_dim
          for _i in range(miniblock_idx + 1, len(self.miniblocks)):
              miniblock_out_dim = self.miniblocks[_i].out_features_dim
              self.miniblocks[_i].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
      else:
          return False, None, None
  
imports: import tensorflow
  from .basic_model import BasicModel
  from .layers import ConvLayer, FCLayer, PoolLayer, get_magnifier, apply_noise
  from ..data_providers.base_provider import DataProvider
  from .layer_cascade import LayerCascade
  from .layer_multi_branch import LayerMultiBranch
  import numpy
label_desc: Use image node_id 12 for calling the DenseBlock obj's underlying member method code with example usage: obj.widen(loc, new_width, widen_type, noise, input_dim) and returns: True,  indices,  magnifier, False,  None,  None