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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def gene_expression_conv_base():
 """Hparams for GeneExpressionConv model."""

  hparams = common_hparams.basic_params1()

  batch_size = 10
  output_length = 2048
  inputs_per_output = 128
  chunk_size = 4
  input_length = output_length * inputs_per_output // chunk_size
  hparams.batch_size = input_length * batch_size

  hparams.dropout = 0.1
  hparams.add_hparam("num_conv_layers", 4)
  hparams.add_hparam("num_dconv_layers", 7)
  # The product of these pooling windows should match
  # input_length/target_length.
  hparams.add_hparam("pooling_windows", [2, 2, 2, 4])

  hparams.hidden_size = 256
  hparams.kernel_width = 20
  hparams.add_hparam("stride", 1)
  return hparams