def _get_meds_weight(self, meds, mindex, icut):
"""
Get a weight map from the input MEDS file
"""
maxfrac=self.conf['max_zero_weight_frac']
skip=False
wt_raw = meds.get_cutout(mindex, icut, type='weight')
if self.conf['region'] == 'mof':
wt=wt_raw.copy()
wt_us = meds.get_cweight_cutout_nearest(mindex, icut)
elif self.conf['region'] == "cweight-nearest":
wt = meds.get_cweight_cutout_nearest(mindex, icut)
wt_us = None
elif self.conf['region'] == 'seg_and_sky':
wt=meds.get_cweight_cutout(mindex, icut)
wt_us = None
elif self.conf['region'] == 'weight':
wt=wt_raw.copy()
wt_us = None
else:
raise ValueError("no support for region type %s" % self.conf['region'])
wt = self._clip_weight(wt)
wt_raw = self._clip_weight(wt_raw)
if wt_us is not None:
wt_us = self._clip_weight(wt_us)
try:
seg = meds.interpolate_coadd_seg(mindex, icut)
except:
seg = meds.get_cutout(mindex, icut, type='seg')
'''
if self.conf['symmetrize_weight']:
raise RuntimeError("this is bogus! Need to zero the map not add")
wt = wt + numpy.rot90(wt)
wt_raw = wt_raw + numpy.rot90(wt_raw)
if wt_us is not None:
wt_us = wt_us + numpy.rot90(wt_us)
'''
# check raw weight map for zero pixels
wzero=numpy.where(wt_raw == 0.0)
notok=self._badfrac_too_high(
icut, wzero[0].size, wt_raw.shape, maxfrac, 'zero weight'
)
if notok:
skip=True
return wt,wt_us,wt_raw,seg, skip
def _get_meds_weight(self, meds, mindex, icut):
"""
Get a weight map from the input MEDS file
"""
if self.conf["region"] == "mof":
wt = meds.get_cutout(mindex, icut, type="weight")
wt_us = meds.get_cweight_cutout_nearest(mindex, icut)
elif self.conf["region"] == "cweight-nearest":
wt = meds.get_cweight_cutout_nearest(mindex, icut)
wt_us = None
elif self.conf["region"] == "seg_and_sky":
wt = meds.get_cweight_cutout(mindex, icut)
wt_us = None
elif self.conf["region"] == "weight":
wt = meds.get_cutout(mindex, icut, type="weight")
wt_us = None
else:
raise ValueError("no support for region type %s" % self.conf["region"])
wt = wt.astype("f8", copy=False)
w = numpy.where(wt < self.conf["min_weight"])
if w[0].size > 0:
wt[w] = 0.0
if wt_us is not None:
wt_us = wt_us.astype("f8", copy=False)
w = numpy.where(wt_us < self.conf["min_weight"])
if w[0].size > 0:
wt_us[w] = 0.0
try:
seg = meds.interpolate_coadd_seg(mindex, icut)
except:
seg = meds.get_cutout(mindex, icut, type="seg")
return wt, wt_us, seg
