Cleanup: fix typos in source code

Contributed by luzpaz.

Differential Revision: https://developer.blender.org/D5801

3 files changed, 8 insertions, 8 deletions

diff --git a/add_mesh_extra_objects/add_mesh_rocks/randomize_texture.py b/add_mesh_extra_objects/add_mesh_rocks/randomize_texture.py
index d492c4e5..3b1c4565 100644
--- a/add_mesh_extra_objects/add_mesh_rocks/randomize_texture.py
+++ b/add_mesh_extra_objects/add_mesh_rocks/randomize_texture.py
@@ -26,7 +26,7 @@ def randomizeTexture(texture, level=1):
 
     param: texture - bpy.data.texture to modify.
     level   - designated tweaked settings to use
-    -> Below 10 is a displacment texture
+    -> Below 10 is a displacement texture
     -> Between 10 and 20 is a base material texture
     '''
     noises = ['BLENDER_ORIGINAL', 'ORIGINAL_PERLIN', 'IMPROVED_PERLIN',
diff --git a/add_mesh_extra_objects/add_mesh_rocks/rockgen.py b/add_mesh_extra_objects/add_mesh_rocks/rockgen.py
index 7279d904..8e2df338 100644
--- a/add_mesh_extra_objects/add_mesh_rocks/rockgen.py
+++ b/add_mesh_extra_objects/add_mesh_rocks/rockgen.py
@@ -84,7 +84,7 @@
 # Coded in IDLE, tested in Blender 2.59.  NumPy Recommended.
 # Search for "@todo" to quickly find sections that need work.
 #
-# Remeber -
+# Remember -
 #   Functional code comes before fast code.  Once it works, then worry about
 #   making it faster/more efficient.
 #
@@ -793,7 +793,7 @@ def generateRocks(context, scaleX, skewX, scaleY, skewY, scaleZ, skewZ,
     # sigma is the standard deviation of the values.  The 95% interval is three
     # standard deviations, which is what we want most generated values to fall
     # in.  Since it might be skewed we are going to use half the difference
-    # betwee the mean and the furthest bound and scale the other side down
+    # between the mean and the furthest bound and scale the other side down
     # post-number generation.
     if scaleX[0] != scaleX[1]:
         skewX = (skewX + 1) / 2
@@ -900,7 +900,7 @@ def generateRocks(context, scaleX, skewX, scaleY, skewY, scaleZ, skewZ,
             rock.modifiers.new(name="Smooth", type='SMOOTH')
             rock.modifiers[6].factor = gauss(smooth_fac, (smooth_fac ** 0.5) / 12)
             rock.modifiers[6].iterations = smooth_it
-        # Make a call to random to keep things consistant:
+        # Make a call to random to keep things consistent:
         else:
             gauss(0, 1)
 
@@ -1021,7 +1021,7 @@ class OBJECT_OT_add_mesh_rock(bpy.types.Operator):
         min=-1.0, max=1.0, default=defaults[6])
     use_scale_dis: BoolProperty(
         name="Scale displace textures",
-        description="Scale displacement textures with dimensions.  May cause streched textures",
+        description="Scale displacement textures with dimensions.  May cause stretched textures",
         default=defaults[7])
     scale_fac: FloatVectorProperty(
         name="Scaling Factor",
diff --git a/add_mesh_extra_objects/add_mesh_rocks/utils.py b/add_mesh_extra_objects/add_mesh_rocks/utils.py
index 64e2daf4..1da48655 100644
--- a/add_mesh_extra_objects/add_mesh_rocks/utils.py
+++ b/add_mesh_extra_objects/add_mesh_rocks/utils.py
@@ -21,7 +21,7 @@
 # <pep8 compliant>
 
 
-# Converts a formated string to a float tuple:
+# Converts a formatted string to a float tuple:
 #   IN - '(0.5, 0.2)' -> CONVERT -> OUT - (0.5, 0.2)
 def toTuple(stringIn):
     sTemp = str(stringIn)[1:len(str(stringIn)) - 1].split(', ')
@@ -31,7 +31,7 @@ def toTuple(stringIn):
     return tuple(fTemp)
 
 
-# Converts a formated string to a float tuple:
+# Converts a formatted string to a float tuple:
 #   IN - '[0.5, 0.2]' -> CONVERT -> OUT - [0.5, 0.2]
 def toList(stringIn):
     sTemp = str(stringIn)[1:len(str(stringIn)) - 1].split(', ')
@@ -93,7 +93,7 @@ except:
     # from random import weibullvariate as weibull
     print("Rock Generator: Numpy not found.  Using Python's random.")
     numpy = False
-# Artifically skews a normal (gaussian) distribution.  This will not create
+# Artificially skews a normal (gaussian) distribution.  This will not create
 # a continuous distribution curve but instead acts as a piecewise finction.
 # This linearly scales the output on one side to fit the bounds.
 #