BUG add kind attribute for PrePSFMom fitter

CHANGES.md

@@ -1,3 +1,10 @@
+## v2.0.6
+
+### bug fixes
+
+    - Fixed a bug where the `kind` attribute was not set for the `PrePSFMom` fitter.
+
+
 ## v2.0.5
 
 ### new features

ngmix/_version.py

@@ -1 +1 @@
-__version__ = '2.0.5'  # noqa
+__version__ = '2.0.6'  # noqa

ngmix/prepsfmom.py

@@ -42,6 +42,14 @@ def __init__(self, fwhm, kernel, pad_factor=4, ap_rad=1.5):
         self.pad_factor = pad_factor
         self.kernel = kernel
         self.ap_rad = ap_rad
+        if self.kernel == "ksigma":
+            self.kind = "ksigma"
+        elif self.kernel in ["gauss", "pgauss"]:
+            self.kind = "pgauss"
+        else:
+            raise ValueError(
+                "The kernel '%s' for PrePSFMom is not recognized!" % self.kernel
+            )
 
     def go(self, obs, return_kernels=False, no_psf=False):
         """Measure the pre-PSF ksigma moments.
@@ -185,9 +193,6 @@ class KSigmaMom(PrePSFMom):
         The apodization radius for the stamp in pixels. The default of 1.5 is likely
         fine for most ground based surveys.
     """
-
-    kind = "ksigma"
-
     def __init__(self, fwhm, pad_factor=4, ap_rad=1.5):
         super().__init__(fwhm, 'ksigma', pad_factor=pad_factor, ap_rad=ap_rad)
 
@@ -212,9 +217,6 @@ class PGaussMom(PrePSFMom):
         The apodization radius for the stamp in pixels. The default of 1.5 is likely
         fine for most ground based surveys.
     """
-
-    kind = "pgauss"
-
     def __init__(self, fwhm, pad_factor=4, ap_rad=1.5):
         super().__init__(fwhm, 'pgauss', pad_factor=pad_factor, ap_rad=ap_rad)
 

ngmix/tests/test_prepsfmom.py

@@ -2,7 +2,11 @@
 import numpy as np
 import pytest
 
-from ngmix.prepsfmom import KSigmaMom, PGaussMom, _build_square_apodization_mask
+from ngmix.prepsfmom import (
+    KSigmaMom, PGaussMom,
+    _build_square_apodization_mask,
+    PrePSFMom,
+)
 from ngmix import Jacobian
 from ngmix import Observation
 from ngmix.moments import make_mom_result
@@ -26,6 +30,19 @@ def _report_info(s, arr, mn, err):
         )
 
 
+def test_prepsfmom_kind():
+    fitter = PrePSFMom(2.0, 'gauss')
+    assert fitter.kind == 'pgauss'
+    fitter = PrePSFMom(2.0, 'pgauss')
+    assert fitter.kind == 'pgauss'
+    fitter = PrePSFMom(2.0, 'ksigma')
+    assert fitter.kind == 'ksigma'
+    fitter = PGaussMom(2.0)
+    assert fitter.kind == 'pgauss'
+    fitter = KSigmaMom(2.0)
+    assert fitter.kind == 'ksigma'
+
+
 @pytest.mark.parametrize("cls", [KSigmaMom, PGaussMom])
 def test_prepsfmom_raises_nopsf(cls):
     fitter = cls(20)