code: def check(self, triggers, data_reader):
          
          if len(triggers['snr']) == 0:
              return None
  
          i = triggers['snr'].argmax()
          # This uses the pycbc live convention of chisq always meaning the
          # reduced chisq.
          rchisq = triggers['chisq'][i]
          nsnr = ranking.newsnr(triggers['snr'][i], rchisq)
          dur = triggers['template_duration'][i]
  
          if nsnr > self.newsnr_threshold and \
                  rchisq < self.reduced_chisq_threshold and \
                  dur > self.duration_threshold:
              fake_coinc = {'foreground/%s/%s' % (self.ifo, k): triggers[k][i]
                            for k in triggers}
              fake_coinc['foreground/stat'] = nsnr
              fake_coinc['foreground/ifar'] = self.fixed_ifar
              fake_coinc['HWINJ'] = data_reader.near_hwinj()
              return fake_coinc
          return None
docs: Look for a single detector trigger that passes the thresholds in
          the current data.