Fix #121 by removing type annotations. (#122)

* Fix #121 by removing type annotations.

* Add test.

src/differentiable_functions.jl

@@ -21,7 +21,7 @@ function DifferentiableMultivariateFunction(f!, g!, fg!, initial_x::AbstractArra
 end
 
 function DifferentiableMultivariateFunction(f!, g!)
-    function fg!(x::AbstractVector, fx::AbstractVector, gx::AbstractMatrix)
+    function fg!(x, fx, gx)
         f!(x, fx)
         g!(x, gx)
     end
@@ -38,7 +38,7 @@ function DifferentiableMultivariateFunction(f!; dtype::Symbol=:central)
         end
         finite_difference_jacobian!(f, x, fx, gx, dtype)
     end
-    function g!(x::AbstractVector, gx::AbstractMatrix)
+    function g!(x, gx)
         fx = similar(x)
         fg!(x, fx, gx)
     end
@@ -52,7 +52,7 @@ end
 
 # Helper for the case where only f! and fg! are available
 function only_f!_and_fg!(f!, fg!)
-    function g!(x::AbstractVector, gx::AbstractMatrix)
+    function g!(x, gx)
         fx = similar(x)
         fg!(x, fx, gx)
     end
@@ -66,11 +66,11 @@ end
 
 # Helper for the case where only fg! is available
 function only_fg!(fg!)
-    function f!(x::AbstractVector, fx::AbstractVector)
+    function f!(x, fx)
         gx = Array{eltype(x)}(length(x), length(x))
         fg!(x, fx, gx)
     end
-    function g!(x::AbstractVector, gx::AbstractMatrix)
+    function g!(x, gx)
         fx = similar(x)
         fg!(x, fx, gx)
     end

src/utils.jl

@@ -38,7 +38,7 @@ end
 
 # Helpers for functions that do not modify arguments in place but return
 function not_in_place(f)
-    function f!(x::AbstractVector, fx::AbstractVector)
+    function f!(x, fx)
         copy!(fx, f(x))
     end
 end

test/api.jl

@@ -0,0 +1,23 @@
+# taken from https://github.com/JuliaNLSolvers/NLsolve.jl/issues/121
+
+function f(x)
+    eq = Array{Float64}(length(x))
+
+    eq[1] = 5 .* x[1] - x[2].^2
+    eq[2] = 4 .* x[2] - x[1]
+
+    return eq
+end
+
+function J(x)
+    jmat = Array{Float64}(length(x),length(x))
+
+    jmat[1,1] = 5
+    jmat[1,2] = -2.*x[2]
+    jmat[2,1] = -1
+    jmat[2,2] = 4
+
+    return jmat
+end
+
+x0 = [3.0, 12.0]

test/runtests.jl

@@ -13,7 +13,8 @@ Base.reshape(A::WrappedArray, dims::Int...) = WrappedArray(reshape(A.x, dims...)
 if length(ARGS) > 0
     tests = map(add_jl, ARGS)
 else
-    tests = ["2by2.jl",
+    tests = ["api.jl",
+             "2by2.jl",
              "singular.jl",
              "finite_difference.jl",
              "minpack.jl",