changed naming cNFWsph to cNFWSph

Author: Niek Wielders

autogalaxy/config/priors/mass/dark/cnfw.yaml

@@ -1,4 +1,4 @@
-cNFWsph:
+cNFWSph:
   centre_0:
     type: Gaussian
     mean: 0.0

autogalaxy/profiles/mass/__init__.py

@@ -36,7 +36,7 @@
     NFWMCRLudlow,
     gNFWMCRLudlow,
     NFWVirialMassConcSph,
-    cNFWsph,
+    cNFWSph,
 )
 from .stellar import (
     Gaussian,

autogalaxy/profiles/mass/dark/__init__.py

@@ -9,4 +9,4 @@
 from .nfw_truncated_mcr import NFWTruncatedMCRLudlowSph, NFWTruncatedMCRDuffySph
 from .nfw_truncated_mcr_scatter import NFWTruncatedMCRScatterLudlowSph
 from .nfw_virial_mass_conc import NFWVirialMassConcSph
-from .cnfw import cNFWsph
+from .cnfw import cNFWSph

autogalaxy/profiles/mass/dark/cnfw.py

@@ -6,7 +6,7 @@
 
 from autogalaxy.profiles.mass.abstract.abstract import MassProfile
 
-class cNFWsph(MassProfile):
+class cNFWSph(MassProfile):
     def __init__(
         self,
         centre: Tuple[float, float] = (0.0, 0.0),

test_autogalaxy/profiles/mass/dark/test_cnfw.py

@@ -4,22 +4,22 @@
 import autogalaxy as ag
 
 def test__deflections_yx_2d_from():
-    cnfw = ag.mp.cNFWsph(centre=(0.0, 0.0), kappa_s=0.01591814312464436, scale_radius=0.36, core_radius=0.036)
+    cnfw = ag.mp.cNFWSph(centre=(0.0, 0.0), kappa_s=0.01591814312464436, scale_radius=0.36, core_radius=0.036)
 
     deflection_2d = cnfw.deflections_yx_2d_from(grid=ag.Grid2DIrregular([[1.0, 0.0]]))
     deflection_r = np.sqrt(deflection_2d[0, 0]**2 + deflection_2d[0, 1]**2)
 
     assert deflection_r == pytest.approx(0.006034319441107217, 1.0e-8)
 
 def test_convergence_2d_from():
-    cnfw = ag.mp.cNFWsph(centre=(0.0, 0.0), kappa_s=0.01591814312464436, scale_radius=0.36, core_radius=0.036)
+    cnfw = ag.mp.cNFWSph(centre=(0.0, 0.0), kappa_s=0.01591814312464436, scale_radius=0.36, core_radius=0.036)
 
     convergence = cnfw.convergence_2d_from(grid=ag.Grid2DIrregular([[1.0, 0.0]]))
 
     assert convergence == pytest.approx(0.0, 1.0e-4)
 
 def test_potential_2d_from():
-    cnfw = ag.mp.cNFWsph(centre=(0.0, 0.0), kappa_s=0.01591814312464436, scale_radius=0.36, core_radius=0.036)
+    cnfw = ag.mp.cNFWSph(centre=(0.0, 0.0), kappa_s=0.01591814312464436, scale_radius=0.36, core_radius=0.036)
 
     potential = cnfw.potential_2d_from(grid=ag.Grid2DIrregular([[1.0, 0.0]]))