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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 rayleigh_spectrogram(self, stride, fftlength=None, overlap=0, nproc=1, **kwargs):
 """Calculate the Rayleigh statistic spectrogram of this `TimeSeries` Parameters stride : `float` number of seconds in single PSD (column of spectrogram). fftlength : `float` number of seconds in single FFT. overlap : `float`, optional number of seconds of overlap between FFTs, default: ``0`` nproc : `int`, optional maximum number of independent frame reading processes, default default: ``1`` Returns ------- spectrogram : `~gwpy.spectrogram.Spectrogram` time-frequency Rayleigh spectrogram as generated from the input time-series. See Also -------- TimeSeries.rayleigh for details of the statistic calculation """

        specgram = spectral.average_spectrogram(
            self,
            spectral.rayleigh,
            stride,
            fftlength=fftlength,
            overlap=overlap,
            nproc=nproc,
            **kwargs
        )
        specgram.override_unit('')
        return specgram