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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 xavier_init(fan_in, fan_out, const=1):
 """Xavier initialization of network weights. https://stackoverflow.com/questions/33640581/how-to-do-xavier-initialization-on-tensorflow :param fan_in: fan in of the network (n_features) :param fan_out: fan out of the network (n_components) :param const: multiplicative constant """

    low = -const * np.sqrt(6.0 / (fan_in + fan_out))
    high = const * np.sqrt(6.0 / (fan_in + fan_out))
    return tf.random_uniform((fan_in, fan_out), minval=low, maxval=high)