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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 experiment(qnum, repetitions=100):
 """Execute the phase estimator cirquit with multiple settings and show results. """


    def example_gate(phi):
        """An example unitary 1-qubit gate U with an eigen vector |0> and an
        eigen value exp(2*Pi*i*phi)
        """

        gate = cirq.SingleQubitMatrixGate(
            matrix=np.array([[np.exp(2*np.pi*1.0j*phi), 0], [0, 1]]))
        return gate

    print('Estimation with {}qubits.'.format(qnum))
    print('Actual, Estimation (Raw binary)')
    errors = []
    fold_func = lambda ms: ''.join(np.flip(ms, 0).astype(int).astype(str))
    for phi in np.arange(0, 1, 0.1):
        result = run_estimate(example_gate(phi), qnum, repetitions)
        hist = result.histogram(key='phase', fold_func=fold_func)
        estimate_bin = hist.most_common(1)[0][0]
        estimate = (sum([float(s)*0.5**(order+1)
                         for order, s in enumerate(estimate_bin)]))
        print('{:0.4f}, {:0.4f} ({})'.format(phi, estimate, estimate_bin))
        errors.append((phi-estimate)**2)
    print('RMS Error: {:0.4f}\n'.format(np.sqrt(sum(errors)/len(errors))))