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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 generateXY(self, **kwargs):
 """ Method to interpret input catalog file as columns of positions and fluxes. """

        self.num_objects = 0
        xycols = self._readCatalog()

        if xycols is not None:
            # convert the catalog into attribute
            self.xypos = xycols[:3]
            # convert optional columns if they are present
            if self.numcols > 3:
                self.xypos.append(np.asarray(xycols[3], dtype=int)) # source ID
            if self.numcols > 4:
                self.sharp = xycols[4]
            if self.numcols > 5:
                self.round1 = xycols[5]
            if self.numcols > 6:
                self.round2 = xycols[6]
            self.num_objects = len(xycols[0])

        if self.numcols < 3: # account for flux column
            self.xypos.append(np.zeros(self.num_objects, dtype=float))
            self.flux_col = False

        if self.numcols < 4: # add source ID column
            self.xypos.append(np.arange(self.num_objects)+self.start_id)

        if self.use_sharp_round:
            for i in range(len(self.xypos), 7):
                self.xypos.append(np.zeros(self.num_objects, dtype=float))
            self.sharp_col = False

        if self.pars['xyunits'] == 'degrees':
            self.radec = [x.copy() for x in self.xypos]
            if self.wcs is not None:
                self.xypos[:2] = list(self.wcs.all_world2pix(np.array(self.xypos[:2]).T, self.origin).T)