1using Test, LibCEED, LinearAlgebra, StaticArrays 2 3function iostr(f, x) 4 io = IOBuffer() 5 f(io, x) 6 String(take!(io)) 7end 8function showstr(x) 9 iostr(x) do io, y 10 show(io, MIME("text/plain"), y) 11 end 12end 13summarystr(x) = iostr(summary, x) 14getoutput(fname) = chomp(read(joinpath(@__DIR__, "output", fname), String)) 15 16mutable struct CtxData 17 io::IOBuffer 18 x::Vector{Float64} 19end 20 21@testset "LibCEED" begin 22 @testset "Ceed" begin 23 res = "/cpu/self/ref/serial" 24 c = Ceed(res) 25 @test isdeterministic(c) 26 @test getresource(c) == res 27 @test !iscuda(c) 28 @test get_preferred_memtype(c) == MEM_HOST 29 @test_throws LibCEED.CeedError create_interior_qfunction(c, "") 30 @test showstr(c) == """ 31 Ceed 32 Ceed Resource: $res 33 Preferred MemType: host""" 34 end 35 36 @testset "Context" begin 37 c = Ceed() 38 data = zeros(3) 39 ctx = Context(c, data) 40 @test showstr(ctx) == """ 41 CeedQFunctionContext 42 Context Data Size: $(sizeof(data))""" 43 @test_throws Exception set_data!(ctx, MEM_HOST, OWN_POINTER, data) 44 end 45 46 @testset "CeedVector" begin 47 n = 10 48 c = Ceed() 49 v = CeedVector(c, n) 50 @test size(v) == (n,) 51 @test length(v) == n 52 @test axes(v) == (1:n,) 53 @test ndims(v) == 1 54 @test ndims(CeedVector) == 1 55 56 v[] = 0.0 57 @test @witharray(a = v, all(a .== 0.0)) 58 59 v1 = rand(n) 60 v2 = CeedVector(c, v1) 61 @test @witharray_read(a = v2, mtype = MEM_HOST, a == v1) 62 @test Vector(v2) == v1 63 v[] = v1 64 for p ∈ [1, 2, Inf] 65 @test norm(v, p) ≈ norm(v1, p) 66 end 67 @test_throws Exception norm(v, 3) 68 @test witharray_read(sum, v) == sum(v1) 69 reciprocal!(v) 70 @test @witharray(a = v, mtype = MEM_HOST, all(a .== 1.0 ./ v1)) 71 72 witharray(x -> x .= 1.0, v) 73 @test @witharray(a = v, all(a .== 1.0)) 74 75 @test summarystr(v) == "$n-element CeedVector" 76 @test iostr(show, v) == @witharray_read(a = v, iostr(show, a)) 77 io = IOBuffer() 78 summary(io, v) 79 println(io, ":") 80 @witharray_read(a = v, Base.print_array(io, a)) 81 s1 = String(take!(io)) 82 @test showstr(v) == s1 83 84 setarray!(v, MEM_HOST, USE_POINTER, v1) 85 syncarray!(v, MEM_HOST) 86 @test @witharray_read(a = v, a == v1) 87 p = takearray!(v, MEM_HOST) 88 @test p == pointer(v1) 89 90 m = rand(10, 10) 91 vm = CeedVector(c, vec(m)) 92 @test @witharray_read(a = vm, size = size(m), a == m) 93 94 @test CeedVectorActive()[] == LibCEED.C.CEED_VECTOR_ACTIVE[] 95 @test CeedVectorNone()[] == LibCEED.C.CEED_VECTOR_NONE[] 96 end 97 98 @testset "Basis" begin 99 c = Ceed() 100 dim = 3 101 ncomp = 1 102 p = 4 103 q = 6 104 b1 = create_tensor_h1_lagrange_basis(c, dim, ncomp, p, q, GAUSS_LOBATTO) 105 106 @test showstr(b1) == getoutput("b1.out") 107 @test getdimension(b1) == 3 108 @test gettopology(b1) == HEX 109 @test getnumcomponents(b1) == ncomp 110 @test getnumnodes(b1) == p^dim 111 @test getnumnodes1d(b1) == p 112 @test getnumqpts(b1) == q^dim 113 @test getnumqpts1d(b1) == q 114 115 q1d, w1d = lobatto_quadrature(3, AbscissaAndWeights) 116 @test q1d ≈ [-1.0, 0.0, 1.0] 117 @test w1d ≈ [1/3, 4/3, 1/3] 118 119 q1d, w1d = gauss_quadrature(3) 120 @test q1d ≈ [-sqrt(3/5), 0.0, sqrt(3/5)] 121 @test w1d ≈ [5/9, 8/9, 5/9] 122 123 b1d = [1.0 0.0; 0.5 0.5; 0.0 1.0] 124 d1d = [-0.5 0.5; -0.5 0.5; -0.5 0.5] 125 q1d = [-1.0, 0.0, 1.0] 126 w1d = [1/3, 4/3, 1/3] 127 q, p = size(b1d) 128 d2d = zeros(2, q*q, p*p) 129 d2d[1, :, :] = kron(b1d, d1d) 130 d2d[2, :, :] = kron(d1d, b1d) 131 132 dim2 = 2 133 b2 = create_tensor_h1_basis(c, dim2, 1, p, q, b1d, d1d, q1d, w1d) 134 @test getinterp(b2) == kron(b1d, b1d) 135 @test getinterp1d(b2) == b1d 136 @test getgrad(b2) == d2d 137 @test getgrad1d(b2) == d1d 138 @test showstr(b2) == getoutput("b2.out") 139 140 b3 = create_h1_basis(c, LINE, 1, p, q, b1d, reshape(d1d, 1, q, p), q1d, w1d) 141 @test getqref(b3) == q1d 142 @test getqweights(b3) == w1d 143 @test showstr(b3) == getoutput("b3.out") 144 145 v = rand(2) 146 vq = apply(b3, v) 147 vd = apply(b3, v; emode=EVAL_GRAD) 148 @test vq ≈ b1d*v 149 @test vd ≈ d1d*v 150 151 @test BasisCollocated()[] == LibCEED.C.CEED_BASIS_COLLOCATED[] 152 end 153 154 @testset "Request" begin 155 @test RequestImmediate()[] == LibCEED.C.CEED_REQUEST_IMMEDIATE[] 156 @test RequestOrdered()[] == LibCEED.C.CEED_REQUEST_ORDERED[] 157 end 158 159 @testset "Misc" begin 160 for dim = 1:3 161 D = CeedDim(dim) 162 J = rand(dim, dim) 163 @test det(J, D) ≈ det(J) 164 J = J + J' # make symmetric 165 @test setvoigt(SMatrix{dim,dim}(J)) == setvoigt(J, D) 166 @test getvoigt(setvoigt(J, D)) == J 167 V = zeros(dim*(dim + 1)÷2) 168 setvoigt!(V, J, D) 169 @test V == setvoigt(J, D) 170 J2 = zeros(dim, dim) 171 getvoigt!(J2, V, D) 172 @test J2 == J 173 end 174 end 175 176 @testset "QFunction" begin 177 c = Ceed() 178 179 id = create_identity_qfunction(c, 1, EVAL_INTERP, EVAL_INTERP) 180 Q = 10 181 v = rand(Q) 182 v1 = CeedVector(c, v) 183 v2 = CeedVector(c, Q) 184 apply!(id, Q, [v1], [v2]) 185 @test @witharray(a = v2, a == v) 186 187 @test showstr(create_interior_qfunction(c, "Poisson3DApply")) == """ 188 Gallery CeedQFunction Poisson3DApply 189 2 Input Fields: 190 Input Field [0]: 191 Name: "du" 192 Size: 3 193 EvalMode: "gradient" 194 Input Field [1]: 195 Name: "qdata" 196 Size: 6 197 EvalMode: "none" 198 1 Output Field: 199 Output Field [0]: 200 Name: "dv" 201 Size: 3 202 EvalMode: "gradient\"""" 203 204 @interior_qf id2 = (c, (a, :in, EVAL_INTERP), (b, :out, EVAL_INTERP), b.=a) 205 v2[] = 0.0 206 apply!(id2, Q, [v1], [v2]) 207 @test @witharray(a = v2, a == v) 208 209 ctxdata = CtxData(IOBuffer(), rand(3)) 210 ctx = Context(c, ctxdata) 211 dim = 3 212 @interior_qf qf = ( 213 c, 214 dim=dim, 215 ctxdata::CtxData, 216 (a, :in, EVAL_GRAD, dim), 217 (b, :in, EVAL_NONE), 218 (c, :out, EVAL_INTERP), 219 begin 220 c[] = b*sum(a) 221 show(ctxdata.io, MIME("text/plain"), ctxdata.x) 222 end, 223 ) 224 set_context!(qf, ctx) 225 in_sz, out_sz = LibCEED.get_field_sizes(qf) 226 @test in_sz == [dim, 1] 227 @test out_sz == [1] 228 v1 = rand(dim) 229 v2 = rand(1) 230 cv1 = CeedVector(c, v1) 231 cv2 = CeedVector(c, v2) 232 cv3 = CeedVector(c, 1) 233 apply!(qf, 1, [cv1, cv2], [cv3]) 234 @test String(take!(ctxdata.io)) == showstr(ctxdata.x) 235 @test @witharray_read(v3 = cv3, v3[1] == v2[1]*sum(v1)) 236 237 @test QFunctionNone()[] == LibCEED.C.CEED_QFUNCTION_NONE[] 238 end 239 240 @testset "Operator" begin 241 c = Ceed() 242 @interior_qf id = ( 243 c, 244 (input, :in, EVAL_INTERP), 245 (output, :out, EVAL_INTERP), 246 begin 247 output[] = input 248 end, 249 ) 250 b = create_tensor_h1_lagrange_basis(c, 3, 1, 3, 3, GAUSS_LOBATTO) 251 n = getnumnodes(b) 252 offsets = Vector{CeedInt}(0:n-1) 253 r = create_elem_restriction(c, 1, n, 1, 1, n, offsets) 254 op = Operator( 255 c; 256 qf=id, 257 fields=[ 258 (:input, r, b, CeedVectorActive()), 259 (:output, r, b, CeedVectorActive()), 260 ], 261 ) 262 @test showstr(op) == """ 263 CeedOperator 264 2 Fields 265 1 Input Field: 266 Input Field [0]: 267 Name: "input" 268 Active vector 269 1 Output Field: 270 Output Field [0]: 271 Name: "output" 272 Active vector""" 273 274 v = rand(n) 275 v1 = CeedVector(c, v) 276 v2 = CeedVector(c, n) 277 apply!(op, v1, v2) 278 @test @witharray_read(a1 = v1, @witharray_read(a2 = v2, a1 == a2)) 279 apply_add!(op, v1, v2) 280 @test @witharray_read(a1 = v1, @witharray_read(a2 = v2, a1 + a1 == a2)) 281 282 diag_vector = create_lvector(r) 283 LibCEED.assemble_diagonal!(op, diag_vector) 284 @test @witharray_read(a = diag_vector, a == ones(n)) 285 # TODO: change this test after bug-fix in libCEED 286 diag_vector[] = 0.0 287 LibCEED.assemble_add_diagonal!(op, diag_vector) 288 @test @witharray(a = diag_vector, a == fill(1.0, n)) 289 290 comp_op = create_composite_operator(c, [op]) 291 apply!(comp_op, v1, v2) 292 @test @witharray_read(a1 = v1, @witharray_read(a2 = v2, a1 == a2)) 293 end 294 295 @testset "ElemRestriction" begin 296 c = Ceed() 297 n = 10 298 offsets = Vector{CeedInt}([0:n-1; n-1:2*n-2]) 299 lsize = 2*n - 1 300 r = create_elem_restriction(c, 2, n, 1, lsize, lsize, offsets) 301 @test getcompstride(r) == lsize 302 @test getnumelements(r) == 2 303 @test getelementsize(r) == n 304 @test getlvectorsize(r) == lsize 305 @test getnumcomponents(r) == 1 306 @test length(create_lvector(r)) == lsize 307 @test length(create_evector(r)) == 2*n 308 lv, ev = create_vectors(r) 309 @test length(lv) == lsize 310 @test length(ev) == 2*n 311 mult = getmultiplicity(r) 312 mult2 = ones(lsize) 313 mult2[n] = 2 314 @test mult == mult2 315 rand_lv = rand(lsize) 316 rand_ev = [rand_lv[1:n]; rand_lv[n:end]] 317 @test apply(r, rand_lv) == rand_ev 318 @test apply(r, rand_ev; tmode=TRANSPOSE) == rand_lv.*mult 319 @test showstr(r) == string( 320 "CeedElemRestriction from (19, 1) to 2 elements ", 321 "with 10 nodes each and component stride 19", 322 ) 323 324 strides = CeedInt[1, n, n] 325 rs = create_elem_restriction_strided(c, 1, n, 1, n, strides) 326 @test showstr(rs) == string( 327 "CeedElemRestriction from (10, 1) to 1 elements ", 328 "with 10 nodes each and strides [1, $n, $n]", 329 ) 330 331 @test ElemRestrictionNone()[] == LibCEED.C.CEED_ELEMRESTRICTION_NONE[] 332 end 333end 334