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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 max_entropy_distribution(node_indices, number_of_nodes):
 """Return the maximum entropy distribution over a set of nodes. This is different from the network's uniform distribution because nodes outside ``node_indices`` are fixed and treated as if they have only 1 state. Args: node_indices (tuple[int]):
 The set of node indices over which to take the distribution. number_of_nodes (int):
 The total number of nodes in the network. Returns: np.ndarray: The maximum entropy distribution over the set of nodes. """

    distribution = np.ones(repertoire_shape(node_indices, number_of_nodes))

    return distribution / distribution.size