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
def fix_norm_and_length ( vector ) : norm_vector = vector / np . linalg . norm ( vector ) 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
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