Fixes for tests

Author: MikeAClarke

src/PaduaTransform.jl

@@ -162,9 +162,3 @@ function paduapoints{T}(::Type{T},n::Integer)
     end
     return MM
 end
-
-# v=collect(1.:6.)
-# P=plan_ipaduatransform(v)
-# @code_warntype ipaduatransform(P,v)
-# M=plan_paduatransform(v)
-# @code_warntype paduatransform(M,v)

test/runtests.jl

@@ -211,21 +211,22 @@ println("Testing (I)Padua Transforms and their inverse function property")
 n=200
 N=div((n+1)*(n+2),2)
 v=rand(N)  #Length of v is the no. of Padua points
-
-@test_approx_eq paduatransform(ipaduatransform(v)) v
-@test_approx_eq ipaduatransform(paduatransform(v)) v
+Pl=plan_paduatransform(v)
+IPl=plan_ipaduatransform(v)
+@test_approx_eq paduatransform(Pl,ipaduatransform(IPl,v)) v
+@test_approx_eq ipaduatransform(IPl,paduatransform(Pl,v)) v
 
 println("Testing runtimes for (I)Padua Transforms")
-@time paduatransform(v)
-@time ipaduatransform(v)
-
-println("Runtimes for Pre-planned (I)Padua Transforms")
-n=300
-v=rand(N)
-Plan=plan_paduatransform(v)
-IPlan=plan_ipaduatransform(v)
-@time paduatransform(Plan,v)
-@time ipaduatransform(IPlan,v)
+@time paduatransform(Pl,v)
+@time ipaduatransform(IPl,v)
+
+# println("Runtimes for Pre-planned (I)Padua Transforms")
+# n=300
+# v=rand(N)
+# Plan=plan_paduatransform(v)
+# IPlan=plan_ipaduatransform(v)
+# @time paduatransform(Plan,v)
+# @time ipaduatransform(IPlan,v)
 
 println("Accuracy of 2d function interpolation at a point")
 function trianglecfsmat{T}(cfs::AbstractVector{T})