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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 orthonormalize_righthanded(basis):
 """Orthonormalizes righthandedly a given 3D basis. This functions returns a right handed orthonormalize_righthandedd basis. Since only the first two vectors in the basis are used, it does not matter if you give two or three vectors. Right handed means, that: .. math:: \\vec{e_1} \\times \\vec{e_2} &= \\vec{e_3} \\\\ \\vec{e_2} \\times \\vec{e_3} &= \\vec{e_1} \\\\ \\vec{e_3} \\times \\vec{e_1} &= \\vec{e_2} \\\\ Args: basis (np.array):
 An array of shape = (3,2) or (3,3) Returns: new_basis (np.array):
 A right handed orthonormalized basis. """

    v1, v2 = basis[:, 0], basis[:, 1]
    e1 = normalize(v1)
    e3 = normalize(np.cross(e1, v2))
    e2 = normalize(np.cross(e3, e1))
    return np.array([e1, e2, e3]).T