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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 overlap(vec1, vec2, psd=None, low_frequency_cutoff=None, high_frequency_cutoff=None, normalized=True):
 """ Return the overlap between the two TimeSeries or FrequencySeries. Parameters vec1 : TimeSeries or FrequencySeries The input vector containing a waveform. vec2 : TimeSeries or FrequencySeries The input vector containing a waveform. psd : Frequency Series A power spectral density to weight the overlap. low_frequency_cutoff : {None, float}, optional The frequency to begin the overlap. high_frequency_cutoff : {None, float}, optional The frequency to stop the overlap. normalized : {True, boolean}, optional Set if the overlap is normalized. If true, it will range from 0 to 1. Returns ------- overlap: float """


    return overlap_cplx(vec1, vec2, psd=psd, \
            low_frequency_cutoff=low_frequency_cutoff,\
            high_frequency_cutoff=high_frequency_cutoff,\
            normalized=normalized).real