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lsst · Jul 27, 2018 · c2eb9a6 · c2eb9a6
1 parent f99af5d
commit c2eb9a6
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Showing 2 changed files with 4 additions and 4 deletions.
diff --git a/python/lsst/meas/deblender/baseline.py b/python/lsst/meas/deblender/baseline.py
@@ -101,11 +101,11 @@ def __init__(self, footprint, mMaskedImage, psfs, psffwhms, log,
             else:
                 avgNoise = [avgNoise]
         # Now check that all of the parameters have the same number of entries
-        if any([len(self.filters) !=len (p) for p in [psfs, psffwhms, avgNoise]]):
+        if any([len(self.filters) != len(p) for p in [psfs, psffwhms, avgNoise]]):
             raise ValueError("To use the multi-color deblender, "
                              "'maskedImage', 'psf', 'psffwhm', 'avgNoise'"
                              "must have the same length, but instead have lengths: "
-                             "{0}".format([len(p) for p in [maskedImages,
+                             "{0}".format([len(p) for p in [mMaskedImage,
                                                             psfs,
                                                             psffwhms,
                                                             avgNoise]]))

diff --git a/python/lsst/meas/deblender/plugins.py b/python/lsst/meas/deblender/plugins.py
@@ -224,7 +224,7 @@ def buildMultibandTemplates(debResult, log, useWeights=False, usePsf=False,
     fpMask = ~fpMask.getArray().astype(bool)
     badPixels = mMaskedImage.mask.getPlaneBitMask(badMask)
     mask = (mMaskedImage.mask.array & badPixels) | fpMask[None, :]
-    weights[mask>0] = 0
+    weights[mask > 0] = 0
 
     # Extract the PSF from each band for PSF convolution
     if usePsf:
@@ -301,7 +301,7 @@ def buildMultibandTemplates(debResult, log, useWeights=False, usePsf=False,
         model = blend.get_model(k=pk).astype(np.float32)
 
         # The peak in each band will have the same SpanSet
-        mask = afwImage.Mask(np.array(np.sum(model, axis=0)>0, dtype=np.int32), xy0=xy0)
+        mask = afwImage.Mask(np.array(np.sum(model, axis=0) > 0, dtype=np.int32), xy0=xy0)
         ss = afwGeom.SpanSet.fromMask(mask)
 
         if len(ss) == 0: