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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 fix_norm_and_length(vector):
 """ Create a normalized and zero padded version of vector. :param 1darray vector: a vector with at least one nonzero component. :return: a vector that is the normalized version of vector, padded at the end with the smallest number of 0s necessary to make the length of the vector :math:`2^m` for some positive integer :math:`m`. :rtype: 1darray """

    # normalize
    norm_vector = vector / np.linalg.norm(vector)

    # pad with zeros
    num_bits = get_bits_needed(len(vector))
    state_vector = np.zeros(2 ** num_bits, dtype=complex)
    for i in range(len(vector)):
        state_vector[i] = norm_vector[i]

    return state_vector