Merge pull request #91 from SciML/extension

Move extension to Symbolics

Project.toml

@@ -1,7 +1,7 @@
 name = "PreallocationTools"
 uuid = "d236fae5-4411-538c-8e31-a6e3d9e00b46"
 authors = ["Chris Rackauckas <[email protected]>"]
-version = "0.4.15"
+version = "0.4.16"
 
 [deps]
 Adapt = "79e6a3ab-5dfb-504d-930d-738a2a938a0e"
@@ -10,11 +10,9 @@ ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
 
 [weakdeps]
 ReverseDiff = "37e2e3b7-166d-5795-8a7a-e32c996b4267"
-Symbolics = "0c5d862f-8b57-4792-8d23-62f2024744c7"
 
 [extensions]
 PreallocationToolsReverseDiffExt = "ReverseDiff"
-PreallocationToolsSymbolicsExt = "Symbolics"
 
 [compat]
 Adapt = "3.4, 4"

test/sparsity_support.jl

@@ -48,26 +48,3 @@ A = Symbolics.jacobian_sparsity(wrap_res_dae_cache!, output, x0)
 B = sparse([1 0; 0 1])
 @test A == B
 @test findnz(A) == findnz(B)
-
-# Test Nesting https://discourse.julialang.org/t/preallocationtools-jl-with-nested-forwarddiff-and-sparsity-pattern-detection-errors/107897
-
-function foo(x, cache)
-    d = get_tmp(cache, x)
-
-    d[:] = x
-
-    0.5 * x'*x
-end
-
-function residual(r, x, cache)
-    function foo_wrap(x)
-        foo(x, cache)
-    end
-
-    r[:] = ForwardDiff.gradient(foo_wrap, x)
-end
-
-cache = DiffCache(zeros(2))
-pattern = Symbolics.jacobian_sparsity((r, x) -> residual(r, x, cache), zeros(2), zeros(2))
-@test pattern == sparse([1 0
-                         0 1])