Merge pull request #205 from ArnoStrouwen/sparsity_detection

remove deprecated SparsityDetection

Author: ChrisRackauckas

Project.toml

@@ -41,10 +41,10 @@ IterativeSolvers = "42fd0dbc-a981-5370-80f2-aaf504508153"
 Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 SafeTestsets = "1bc83da4-3b8d-516f-aca4-4fe02f6d838f"
-SparsityDetection = "684fba80-ace3-11e9-3d08-3bc7ed6f96df"
 StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
+Symbolics = "0c5d862f-8b57-4792-8d23-62f2024744c7"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
 
 [targets]
-test = ["Test", "ArrayInterfaceBandedMatrices", "ArrayInterfaceBlockBandedMatrices", "BandedMatrices", "BlockBandedMatrices", "IterativeSolvers", "Pkg", "Random", "SafeTestsets", "Zygote", "SparsityDetection", "StaticArrays"]
+test = ["Test", "ArrayInterfaceBandedMatrices", "ArrayInterfaceBlockBandedMatrices", "BandedMatrices", "BlockBandedMatrices", "IterativeSolvers", "Pkg", "Random", "SafeTestsets", "Symbolics", "Zygote", "StaticArrays"]

test/test_integration.jl

@@ -1,6 +1,6 @@
 using SparseDiffTools
+using Symbolics
 using FiniteDiff: finite_difference_jacobian, finite_difference_jacobian!
-using SparsityDetection
 
 using LinearAlgebra, SparseArrays, Test
 
@@ -37,7 +37,7 @@ function second_derivative_stencil(N)
 end
 
 output = ones(30); input = ones(30)
-sparsity_pattern = sparsity!(f,output,input)
+sparsity_pattern = Symbolics.jacobian_sparsity(f,output,input)
 true_jac = Float64.(sparse(sparsity_pattern))
 colors = matrix_colors(true_jac)
 @test colors == repeat(1:3,10)

test/test_sparse_hessian.jl

@@ -1,5 +1,6 @@
 ## Hessian tests
-using SparsityDetection, SparseDiffTools
+using SparseDiffTools
+using Symbolics
 using ForwardDiff
 using LinearAlgebra, SparseArrays
 
@@ -8,7 +9,7 @@ function fscalar(x)
 end
 
 x = randn(5)
-sparsity = hessian_sparsity(fscalar, x)
+sparsity = Symbolics.hessian_sparsity(fscalar, x)
 colors = matrix_colors(tril(sparsity))
 ncolors = maximum(colors)
 D = hcat([float.(i .== colors) for i in 1:ncolors]...)