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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 vectors_close(vec0: QubitVector, vec1: QubitVector, tolerance: float = TOLERANCE) -> bool: """Return True if vectors in close in the projective Hilbert space. Similarity is measured with the Fubini–Study metric. """

    if vec0.rank != vec1.rank:
        return False

    if vec0.qubit_nb != vec1.qubit_nb:
        return False

    if set(vec0.qubits) ^ set(vec1.qubits):
        return False

    return bk.evaluate(fubini_study_angle(vec0, vec1)) <= tolerance