code: def get_sequential_model(keras):
      return keras.Sequential(
          [
              keras.layers.Input((3,), batch_size=2),
              keras.layers.Dense(4, activation="relu"),
              keras.layers.BatchNormalization(
                  moving_mean_initializer="uniform",
                  gamma_initializer="uniform",
              ),
              keras.layers.Dense(5, activation="softmax"),
          ]
      )
  
imports: import os
  import numpy
  import pytest
  import keras
  from keras import layers
  from keras import models
  from keras import ops
  from keras import testing
  from keras.legacy.saving import legacy_h5_format
  from keras.saving import object_registration
  from keras.saving import serialization_lib
label_desc: Use image node_id 1 for calling a global function with example usage: get_sequential_model(keras) and returns: keras