Put backend tests into folders (#292)

* Restructure test folder

* Rename translation into misc

* Typo

* More verbose

* Typo

* Fix 1.6

Author: gdalle

DifferentiationInterface/src/DifferentiationInterface.jl

@@ -71,7 +71,7 @@ include("sparse/matrices.jl")
 include("sparse/jacobian.jl")
 include("sparse/hessian.jl")
 
-include("translation/differentiate_with.jl")
+include("misc/differentiate_with.jl")
 
 function __init__()
     @require_extensions

DifferentiationInterface/src/translation/differentiate_with.jl renamed to DifferentiationInterface/src/misc/differentiate_with.jl

@@ -0,0 +1,26 @@
+using DifferentiationInterface, DifferentiationInterfaceTest
+import DifferentiationInterfaceTest as DIT
+using ForwardDiff: ForwardDiff
+using Zygote: Zygote
+using Test
+
+function zygote_breaking_scenarios()
+    onearg_scens = filter(default_scenarios()) do scen
+        DIT.nb_args(scen) == 1
+    end
+    bad_onearg_scens = map(onearg_scens) do scen
+        function bad_f(x)
+            a = Vector{eltype(x)}(undef, 1)
+            a[1] = sum(x)
+            return scen.f(x)
+        end
+        wrapped_bad_f = DifferentiateWith(bad_f, AutoForwardDiff())
+        bad_scen = DIT.change_function(scen, wrapped_bad_f)
+        return bad_scen
+    end
+    return bad_onearg_scens
+end
+
+test_differentiation(
+    AutoZygote(), zygote_breaking_scenarios(); second_order=false, logging=LOGGING
+)

DifferentiationInterface/test/Double/Enzyme-ForwardDiff.jl renamed to DifferentiationInterface/test/Double/Enzyme-ForwardDiff/test.jl

@@ -1,6 +1,4 @@
 using DifferentiationInterface, DifferentiationInterfaceTest
-import DifferentiationInterface as DI
-import DifferentiationInterfaceTest as DIT
 using ForwardDiff: ForwardDiff
 using SparseConnectivityTracer
 using SparseMatrixColorings
@@ -32,26 +30,3 @@ test_differentiation(dense_backends; first_order=false, logging=LOGGING);
 test_differentiation(
     sparse_backends, sparse_scenarios(); first_order=false, sparsity=true, logging=LOGGING
 );
-
-## Translation
-
-function zygote_breaking_scenarios()
-    onearg_scens = filter(default_scenarios()) do scen
-        DIT.nb_args(scen) == 1
-    end
-    bad_onearg_scens = map(onearg_scens) do scen
-        function bad_f(x)
-            a = Vector{eltype(x)}(undef, 1)
-            a[1] = sum(x)
-            return scen.f(x)
-        end
-        wrapped_bad_f = DifferentiateWith(bad_f, AutoForwardDiff())
-        bad_scen = DIT.change_function(scen, wrapped_bad_f)
-        return bad_scen
-    end
-    return bad_onearg_scens
-end
-
-test_differentiation(
-    AutoZygote(), zygote_breaking_scenarios(); second_order=false, logging=LOGGING
-)