MAINT: clean up issues reported by pyflakes.

Drop unused variables and unused imports.
Clean up re-definitions of the same name.

Author: pavoljuhas

doc/examples/coreshellnp.py

@@ -131,11 +131,7 @@ def plotResults(recipe):
     """Plot the results contained within a refined FitRecipe."""
 
     # All this should be pretty familiar by now.
-    names = recipe.getNames()
-    vals = recipe.getValues()
-
     r = recipe.cdszns.profile.x
-
     g = recipe.cdszns.profile.y
     gcalc = recipe.cdszns.profile.ycalc
     diffzero = -0.8 * max(g) * numpy.ones_like(g)

doc/examples/crystalpdf.py

@@ -127,11 +127,7 @@ def plotResults(recipe):
     """Plot the results contained within a refined FitRecipe."""
 
     # All this should be pretty familiar by now.
-    names = recipe.getNames()
-    vals = recipe.getValues()
-
     r = recipe.nickel.profile.x
-
     g = recipe.nickel.profile.y
     gcalc = recipe.nickel.profile.ycalc
     diffzero = -0.8 * max(g) * numpy.ones_like(g)

doc/examples/crystalpdfall.py

@@ -141,9 +141,6 @@ def plotResults(recipe):
     """Plot the results contained within a refined FitRecipe."""
 
     # All this should be pretty familiar by now.
-    names = recipe.getNames()
-    vals = recipe.getValues()
-
     xnickel = recipe.xnickel
     xr_ni = xnickel.profile.x
     xg_ni = xnickel.profile.y

doc/examples/crystalpdftwodata.py

@@ -31,7 +31,6 @@
 from diffpy.srfit.fitbase import FitResults
 
 from gaussianrecipe import scipyOptimize
-from crystalpdf import plotResults
 
 ####### Example Code
 
@@ -137,9 +136,6 @@ def plotResults(recipe):
     """Plot the results contained within a refined FitRecipe."""
 
     # All this should be pretty familiar by now.
-    names = recipe.getNames()
-    vals = recipe.getValues()
-
     xr = recipe.xnickel.profile.x
     xg = recipe.xnickel.profile.y
     xgcalc = recipe.xnickel.profile.ycalc

doc/examples/crystalpdftwophase.py

@@ -141,11 +141,7 @@ def plotResults(recipe):
     """Plot the results contained within a refined FitRecipe."""
 
     # All this should be pretty familiar by now.
-    names = recipe.getNames()
-    vals = recipe.getValues()
-
     r = recipe.nisi.profile.x
-
     g = recipe.nisi.profile.y
     gcalc = recipe.nisi.profile.ycalc
     diffzero = -0.8 * max(g) * numpy.ones_like(g)

doc/examples/debyemodelII.py

@@ -85,7 +85,7 @@ def makeRecipeII():
     recipe.addVar(recipe.highT.offset, name = "highToffset")
     # We create a new Variable and use the recipe's "constrain" method to
     # associate the Debye temperature parameters with that variable.
-    par = recipe.newVar("thetaD", 100)
+    recipe.newVar("thetaD", 100)
     recipe.constrain(recipe.lowT.thetaD, "thetaD")
     recipe.constrain(recipe.highT.thetaD, "thetaD")
     return recipe

doc/examples/ellipsoidsas.py

@@ -85,11 +85,7 @@ def plotResults(recipe):
     """Plot the results contained within a refined FitRecipe."""
 
     # All this should be pretty familiar by now.
-    names = recipe.getNames()
-    vals = recipe.getValues()
-
     r = recipe.ellipsoid.profile.x
-
     y = recipe.ellipsoid.profile.y
     ycalc = recipe.ellipsoid.profile.ycalc
     diff = y - ycalc + min(y)

doc/examples/gaussiangenerator.py

@@ -43,7 +43,6 @@
 
 from diffpy.srfit.fitbase import ProfileGenerator, Profile
 from diffpy.srfit.fitbase import FitContribution, FitRecipe
-from diffpy.srfit.fitbase import FitResults
 
 ####### Example Code
 

doc/examples/npintensity.py

@@ -227,7 +227,7 @@ def makeRecipe(strufile, datname):
 
     # This creates a callable equation named "bkgd" within the FitContribution,
     # and turns the polynomial coefficients into Parameters.
-    eq = contribution.registerStringFunction(bkgdstr, "bkgd")
+    contribution.registerStringFunction(bkgdstr, "bkgd")
 
     # We will create the broadening function that we need by creating a python
     # function and registering it with the FitContribution.

doc/examples/npintensityII.py

@@ -37,8 +37,8 @@
 import numpy
 
 from diffpy.srfit.fitbase import FitContribution, FitRecipe, Profile, FitResults
-from npintensity import IntensityGenerator, scipyOptimize
-from npintensity import iofq, makeData
+from npintensity import IntensityGenerator
+from npintensity import makeData
 
 from gaussianrecipe import scipyOptimize