def autointerpret_specimen(self, specimen, step_size, calculation_type):
        """In Dev"""
        if self.COORDINATE_SYSTEM == 'geographic':
            block = self.Data[specimen]['zijdblock_geo']
        elif self.COORDINATE_SYSTEM == 'tilt-corrected':
            block = self.Data[specimen]['zijdblock_tilt']
        else:
            block = self.Data[specimen]['zijdblock']
        if step_size == None:
            step_size = int(len(block)/10 + .5)
            if step_size < 3:
                step_size = 3
        temps = []
        mads = []
        for i in range(len(block)-step_size):
            if block[i][5] == 'b':
                return
            try:
                mpars = pmag.domean(block, i, i+step_size, calculation_type)
            except (IndexError, TypeError) as e:
                return
            if 'specimen_mad' in list(mpars.keys()):
                temps.append(block[i][0])
                mads.append(mpars['specimen_mad'])
        if mads == []:
            return

        peaks = find_peaks_cwt(array(mads), arange(5, 10))
        len_temps = len(self.Data[specimen]['zijdblock_steps'])
        peaks = [0] + peaks + [len(temps)]

        prev_peak = peaks[0]
        for peak in peaks[1:]:
            if peak - prev_peak < 3:
                prev_peak = peak
                continue
            tmin = self.Data[specimen]['zijdblock_steps'][prev_peak]
            tmax = self.Data[specimen]['zijdblock_steps'][peak]
            self.add_fit(specimen, None, tmin, tmax, calculation_type)
            prev_peak = peak+1
In Dev