old_contents: """Collection of :class:`~chainer.Link` implementations."""
  
  from chainer.links.activation import maxout
  from chainer.links.activation import prelu
  from chainer.links.connection import bias
  from chainer.links.connection import bilinear
  from chainer.links.connection import convolution_2d
  from chainer.links.connection import deconvolution_2d
  from chainer.links.connection import embed_id
  from chainer.links.connection import gru
  from chainer.links.connection import inception
  from chainer.links.connection import inceptionbn
  from chainer.links.connection import linear
  from chainer.links.connection import lstm
  from chainer.links.connection import mlp_convolution_2d
  from chainer.links.connection import parameter
  from chainer.links.connection import peephole
  from chainer.links.connection import scale
  from chainer.links.loss import hierarchical_softmax
  from chainer.links.loss import negative_sampling
  from chainer.links.model import classifier
  from chainer.links.normalization import batch_normalization
  
  
  Maxout = maxout.Maxout
  PReLU = prelu.PReLU
  
  Bias = bias.Bias
  Bilinear = bilinear.Bilinear
  Convolution2D = convolution_2d.Convolution2D
  Deconvolution2D = deconvolution_2d.Deconvolution2D
  EmbedID = embed_id.EmbedID
  GRU = gru.GRU
  StatefulGRU = gru.StatefulGRU
  Inception = inception.Inception
  InceptionBN = inceptionbn.InceptionBN
  Linear = linear.Linear
  LSTM = lstm.LSTM
  StatelessLSTM = lstm.StatelessLSTM
  MLPConvolution2D = mlp_convolution_2d.MLPConvolution2D
  Parameter = parameter.Parameter
  Peephole = peephole.StatefulPeepholeLSTM
  Scale = scale.Scale
  
  BinaryHierarchicalSoftmax = hierarchical_softmax.BinaryHierarchicalSoftmax
  NegativeSampling = negative_sampling.NegativeSampling
  
  Classifier = classifier.Classifier
  
  BatchNormalization = batch_normalization.BatchNormalization
  
new_contents: """Collection of :class:`~chainer.Link` implementations."""
  
  from chainer.links.activation import maxout
  from chainer.links.activation import prelu
  from chainer.links.connection import bias
  from chainer.links.connection import bilinear
  from chainer.links.connection import convolution_2d
  from chainer.links.connection import deconvolution_2d
  from chainer.links.connection import embed_id
  from chainer.links.connection import gru
  from chainer.links.connection import inception
  from chainer.links.connection import inceptionbn
  from chainer.links.connection import linear
  from chainer.links.connection import lstm
  from chainer.links.connection import mlp_convolution_2d
  from chainer.links.connection import parameter
  from chainer.links.connection import peephole
  from chainer.links.connection import scale
  from chainer.links.loss import hierarchical_softmax
  from chainer.links.loss import negative_sampling
  from chainer.links.model import classifier
  from chainer.links.normalization import batch_normalization
  
  
  Maxout = maxout.Maxout
  PReLU = prelu.PReLU
  
  Bias = bias.Bias
  Bilinear = bilinear.Bilinear
  Convolution2D = convolution_2d.Convolution2D
  Deconvolution2D = deconvolution_2d.Deconvolution2D
  EmbedID = embed_id.EmbedID
  GRU = gru.GRU
  StatefulGRU = gru.StatefulGRU
  Inception = inception.Inception
  InceptionBN = inceptionbn.InceptionBN
  Linear = linear.Linear
  LSTM = lstm.LSTM
  StatelessLSTM = lstm.StatelessLSTM
  MLPConvolution2D = mlp_convolution_2d.MLPConvolution2D
  Parameter = parameter.Parameter
  StatefulPeepholeLSTM = peephole.StatefulPeepholeLSTM
  Scale = scale.Scale
  
  BinaryHierarchicalSoftmax = hierarchical_softmax.BinaryHierarchicalSoftmax
  NegativeSampling = negative_sampling.NegativeSampling
  
  Classifier = classifier.Classifier
  
  BatchNormalization = batch_normalization.BatchNormalization
  
subject: fix name