Update from FDM.jl to FiniteDifferences.jl

.travis.yml

@@ -5,7 +5,8 @@ os:
   - osx
 julia:
   - 1.0
-  - 1.1
+  - 1.2
+  - 1.3
   - nightly
 notifications:
   email: false

Project.toml

@@ -1,19 +1,19 @@
 name = "Nabla"
 uuid = "49c96f43-aa6d-5a04-a506-44c7070ebe78"
-version = "0.12.1"
+version = "0.12.2"
 
 [deps]
 DiffRules = "b552c78f-8df3-52c6-915a-8e097449b14b"
 DualNumbers = "fa6b7ba4-c1ee-5f82-b5fc-ecf0adba8f74"
-FDM = "e25cca7e-83ef-51fa-be6c-dfe2a3123128"
+FiniteDifferences = "26cc04aa-876d-5657-8c51-4c34ba976000"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 SpecialFunctions = "276daf66-3868-5448-9aa4-cd146d93841b"
 Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
 
 [compat]
 DiffRules = "^0.0"
 DualNumbers = ">=0.6.0"
-FDM = "^0.6"
+FiniteDifferences = "0.7, 0.8"
 SpecialFunctions = ">=0.5.0"
 julia = "^1.0"
 

docs/Project.toml

@@ -1,5 +1,6 @@
 [deps]
 Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
+Nabla = "49c96f43-aa6d-5a04-a506-44c7070ebe78"
 
 [compat]
 Documenter = "~0.19"

docs/src/pages/custom.md

@@ -152,7 +152,7 @@ of the documentation.
 In order to ensure correctness for custom sensitivity definitions, we can compare the
 results against those computed by the method of finite differences.
 The finite differencing itself is implemented in the Julia package
-[FDM](https://github.com/invenia/FDM.jl), but Nabla defines and exports functionality
+[FiniteDifferences.jl](https://github.com/juliadiff/FiniteDifferences.jl), but Nabla defines and exports functionality
 that permits checking results against finite differencing.
 
 The primary workhorse function for this is `check_errs`.

src/finite_differencing.jl

@@ -1,4 +1,4 @@
-using FDM
+using FiniteDifferences
 
 export check_Dv, check_Dv_update, check_errs,
        assert_approx_equal, domain1, domain2, points, in_domain
@@ -21,7 +21,7 @@ function approximate_Dv(
     x::Tuple{Vararg{∇ArrayOrScalar}},
     v::Tuple{Vararg{∇ArrayOrScalar}}
 )
-    return FDM.Central(5, 1)(ε -> sum(ȳ .* f((x .+ ε .* v)...)))
+    return FiniteDifferences.Central(5, 1)(ε -> sum(ȳ .* f((x .+ ε .* v)...)))
 end
 
 approximate_Dv(f, ȳ::∇ArrayOrScalar, x::∇ArrayOrScalar, v::∇ArrayOrScalar) =