1using Test, LibCEED, LinearAlgebra, StaticArrays 2 3showstr(x) = sprint(show, MIME("text/plain"), x) 4summarystr(x) = sprint(summary, x) 5getoutput(fname) = 6 chomp(read(joinpath(@__DIR__, "output", string(CeedScalar), fname), String)) 7 8function checkoutput(str, fname) 9 if str != getoutput(fname) 10 write(fname, str) 11 return false 12 end 13 return true 14end 15 16mutable struct CtxData 17 io::IOBuffer 18 x::Vector{Float64} 19end 20 21const run_dev_tests = !isrelease() || ("--run-dev-tests" in ARGS) 22 23if run_dev_tests 24 include("rundevtests.jl") 25end 26 27if !LibCEED.ceedversion_ge(LibCEED.minimum_libceed_version) && !run_dev_tests 28 @warn "Skipping tests because of incompatible libCEED versions." 29else 30 @testset "LibCEED Release Tests" begin 31 @testset "LibCEED" begin 32 @test ceedversion() isa VersionNumber 33 @test isrelease() isa Bool 34 @test isfile(get_libceed_path()) 35 end 36 37 @testset "Ceed" begin 38 res = "/cpu/self/ref/serial" 39 c = Ceed(res) 40 @test isdeterministic(c) 41 @test getresource(c) == res 42 @test !iscuda(c) 43 @test get_preferred_memtype(c) == MEM_HOST 44 @test_throws LibCEED.CeedError create_interior_qfunction(c, "") 45 @test showstr(c) == """ 46 Ceed 47 Ceed Resource: $res 48 Preferred MemType: host""" 49 end 50 51 @testset "Context" begin 52 c = Ceed() 53 data = zeros(CeedScalar, 3) 54 ctx = Context(c, data) 55 @test showstr(ctx) == """ 56 CeedQFunctionContext 57 Context Data Size: $(sizeof(data))""" 58 @test_throws Exception set_data!(ctx, MEM_HOST, OWN_POINTER, data) 59 end 60 61 @testset "CeedVector" begin 62 n = 10 63 c = Ceed() 64 v = CeedVector(c, n) 65 @test size(v) == (n,) 66 @test length(v) == n 67 @test axes(v) == (1:n,) 68 @test ndims(v) == 1 69 @test ndims(CeedVector) == 1 70 71 v[] = 0.0 72 @test @witharray(a = v, all(a .== 0.0)) 73 74 v1 = rand(CeedScalar, n) 75 v2 = CeedVector(c, v1) 76 @test @witharray_read(a = v2, mtype = MEM_HOST, a == v1) 77 @test Vector(v2) == v1 78 v[] = v1 79 for p ∈ [1, 2, Inf] 80 @test norm(v, p) ≈ norm(v1, p) 81 end 82 @test_throws Exception norm(v, 3) 83 @test witharray_read(sum, v) == sum(v1) 84 reciprocal!(v) 85 @test @witharray(a = v, mtype = MEM_HOST, all(a .== CeedScalar(1.0)./v1)) 86 87 witharray(x -> x .= 1.0, v) 88 @test @witharray(a = v, all(a .== 1.0)) 89 90 @test summarystr(v) == "$n-element CeedVector" 91 @test sprint(show, v) == @witharray_read(a = v, sprint(show, a)) 92 io = IOBuffer() 93 summary(io, v) 94 println(io, ":") 95 @witharray_read(a = v, Base.print_array(io, a)) 96 s1 = String(take!(io)) 97 @test showstr(v) == s1 98 99 setarray!(v, MEM_HOST, USE_POINTER, v1) 100 syncarray!(v, MEM_HOST) 101 @test @witharray_read(a = v, a == v1) 102 p = takearray!(v, MEM_HOST) 103 @test p == pointer(v1) 104 105 m = rand(CeedScalar, 10, 10) 106 vm = CeedVector(c, vec(m)) 107 @test @witharray_read(a = vm, size = size(m), a == m) 108 109 @test CeedVectorActive()[] == LibCEED.C.CEED_VECTOR_ACTIVE[] 110 @test CeedVectorNone()[] == LibCEED.C.CEED_VECTOR_NONE[] 111 112 w1 = rand(CeedScalar, n) 113 w2 = rand(CeedScalar, n) 114 w3 = rand(CeedScalar, n) 115 116 cv1 = CeedVector(c, w1) 117 cv2 = CeedVector(c, w2) 118 cv3 = CeedVector(c, w3) 119 120 alpha = rand(CeedScalar) 121 122 scale!(cv1, alpha) 123 w1 .*= alpha 124 @test @witharray_read(a = cv1, a == w1) 125 126 pointwisemult!(cv1, cv2, cv3) 127 w1 .= w2.*w3 128 @test @witharray_read(a = cv1, a == w1) 129 130 axpy!(alpha, cv2, cv1) 131 axpy!(alpha, w2, w1) 132 @test @witharray_read(a = cv1, a ≈ w1) 133 end 134 135 @testset "Basis" begin 136 c = Ceed() 137 dim = 3 138 ncomp = 1 139 p = 4 140 q = 6 141 b1 = create_tensor_h1_lagrange_basis(c, dim, ncomp, p, q, GAUSS_LOBATTO) 142 143 @test checkoutput(showstr(b1), "b1.out") 144 @test getdimension(b1) == 3 145 @test gettopology(b1) == HEX 146 @test getnumcomponents(b1) == ncomp 147 @test getnumnodes(b1) == p^dim 148 @test getnumnodes1d(b1) == p 149 @test getnumqpts(b1) == q^dim 150 @test getnumqpts1d(b1) == q 151 152 q1d, w1d = lobatto_quadrature(3, AbscissaAndWeights) 153 @test q1d ≈ CeedScalar[-1.0, 0.0, 1.0] 154 @test w1d ≈ CeedScalar[1/3, 4/3, 1/3] 155 156 q1d, w1d = gauss_quadrature(3) 157 @test q1d ≈ CeedScalar[-sqrt(3/5), 0.0, sqrt(3/5)] 158 @test w1d ≈ CeedScalar[5/9, 8/9, 5/9] 159 160 b1d = CeedScalar[1.0 0.0; 0.5 0.5; 0.0 1.0] 161 d1d = CeedScalar[-0.5 0.5; -0.5 0.5; -0.5 0.5] 162 q1d = CeedScalar[-1.0, 0.0, 1.0] 163 w1d = CeedScalar[1/3, 4/3, 1/3] 164 q, p = size(b1d) 165 d2d = zeros(CeedScalar, 2, q*q, p*p) 166 d2d[1, :, :] = kron(b1d, d1d) 167 d2d[2, :, :] = kron(d1d, b1d) 168 169 dim2 = 2 170 b2 = create_tensor_h1_basis(c, dim2, 1, p, q, b1d, d1d, q1d, w1d) 171 @test getinterp(b2) == kron(b1d, b1d) 172 @test getinterp1d(b2) == b1d 173 @test getgrad(b2) == d2d 174 @test getgrad1d(b2) == d1d 175 @test checkoutput(showstr(b2), "b2.out") 176 177 b3 = create_h1_basis(c, LINE, 1, p, q, b1d, reshape(d1d, 1, q, p), q1d, w1d) 178 @test getqref(b3) == q1d 179 @test getqweights(b3) == w1d 180 @test checkoutput(showstr(b3), "b3.out") 181 182 v = rand(CeedScalar, 2) 183 vq = apply(b3, v) 184 vd = apply(b3, v; emode=EVAL_GRAD) 185 @test vq ≈ b1d*v 186 @test vd ≈ d1d*v 187 188 @test BasisCollocated()[] == LibCEED.C.CEED_BASIS_COLLOCATED[] 189 end 190 191 @testset "Request" begin 192 @test RequestImmediate()[] == LibCEED.C.CEED_REQUEST_IMMEDIATE[] 193 @test RequestOrdered()[] == LibCEED.C.CEED_REQUEST_ORDERED[] 194 end 195 196 @testset "Misc" begin 197 for dim = 1:3 198 D = CeedDim(dim) 199 J = rand(CeedScalar, dim, dim) 200 @test det(J, D) ≈ det(J) 201 J = J + J' # make symmetric 202 @test setvoigt(SMatrix{dim,dim}(J)) == setvoigt(J, D) 203 @test getvoigt(setvoigt(J, D)) == J 204 V = zeros(CeedScalar, dim*(dim + 1)÷2) 205 setvoigt!(V, J, D) 206 @test V == setvoigt(J, D) 207 J2 = zeros(CeedScalar, dim, dim) 208 getvoigt!(J2, V, D) 209 @test J2 == J 210 end 211 end 212 213 @testset "QFunction" begin 214 c = Ceed() 215 216 id = create_identity_qfunction(c, 1, EVAL_INTERP, EVAL_INTERP) 217 Q = 10 218 v = rand(CeedScalar, Q) 219 v1 = CeedVector(c, v) 220 v2 = CeedVector(c, Q) 221 apply!(id, Q, [v1], [v2]) 222 @test @witharray(a = v2, a == v) 223 224 @interior_qf id2 = (c, (a, :in, EVAL_INTERP), (b, :out, EVAL_INTERP), b .= a) 225 v2[] = 0.0 226 apply!(id2, Q, [v1], [v2]) 227 @test @witharray(a = v2, a == v) 228 229 ctxdata = CtxData(IOBuffer(), rand(CeedScalar, 3)) 230 ctx = Context(c, ctxdata) 231 dim = 3 232 @interior_qf qf = ( 233 c, 234 dim=dim, 235 ctxdata::CtxData, 236 (a, :in, EVAL_GRAD, dim), 237 (b, :in, EVAL_NONE), 238 (c, :out, EVAL_INTERP), 239 begin 240 c[] = b*sum(a) 241 show(ctxdata.io, MIME("text/plain"), ctxdata.x) 242 end, 243 ) 244 set_context!(qf, ctx) 245 in_sz, out_sz = LibCEED.get_field_sizes(qf) 246 @test in_sz == [dim, 1] 247 @test out_sz == [1] 248 v1 = rand(CeedScalar, dim) 249 v2 = rand(CeedScalar, 1) 250 cv1 = CeedVector(c, v1) 251 cv2 = CeedVector(c, v2) 252 cv3 = CeedVector(c, 1) 253 apply!(qf, 1, [cv1, cv2], [cv3]) 254 @test String(take!(ctxdata.io)) == showstr(ctxdata.x) 255 @test @witharray_read(v3 = cv3, v3[1] == v2[1]*sum(v1)) 256 257 @test QFunctionNone()[] == LibCEED.C.CEED_QFUNCTION_NONE[] 258 end 259 260 @testset "Operator" begin 261 c = Ceed() 262 @interior_qf id = ( 263 c, 264 (input, :in, EVAL_INTERP), 265 (output, :out, EVAL_INTERP), 266 begin 267 output[] = input 268 end, 269 ) 270 b = create_tensor_h1_lagrange_basis(c, 3, 1, 3, 3, GAUSS_LOBATTO) 271 n = getnumnodes(b) 272 offsets = Vector{CeedInt}(0:n-1) 273 r = create_elem_restriction(c, 1, n, 1, 1, n, offsets) 274 op = Operator( 275 c; 276 qf=id, 277 fields=[ 278 (:input, r, b, CeedVectorActive()), 279 (:output, r, b, CeedVectorActive()), 280 ], 281 ) 282 283 v = rand(CeedScalar, n) 284 v1 = CeedVector(c, v) 285 v2 = CeedVector(c, n) 286 apply!(op, v1, v2) 287 @test @witharray_read(a1 = v1, @witharray_read(a2 = v2, a1 == a2)) 288 apply_add!(op, v1, v2) 289 @test @witharray_read(a1 = v1, @witharray_read(a2 = v2, a1 + a1 == a2)) 290 291 diag_vector = create_lvector(r) 292 LibCEED.assemble_diagonal!(op, diag_vector) 293 @test @witharray_read(a = diag_vector, a == ones(n)) 294 # TODO: change this test after bug-fix in libCEED 295 diag_vector[] = 0.0 296 LibCEED.assemble_add_diagonal!(op, diag_vector) 297 @test @witharray(a = diag_vector, a == fill(1.0, n)) 298 299 comp_op = create_composite_operator(c, [op]) 300 apply!(comp_op, v1, v2) 301 @test @witharray_read(a1 = v1, @witharray_read(a2 = v2, a1 == a2)) 302 end 303 304 @testset "ElemRestriction" begin 305 c = Ceed() 306 n = 10 307 offsets = Vector{CeedInt}([0:n-1; n-1:2*n-2]) 308 lsize = 2*n - 1 309 r = create_elem_restriction(c, 2, n, 1, lsize, lsize, offsets) 310 @test getcompstride(r) == lsize 311 @test getnumelements(r) == 2 312 @test getelementsize(r) == n 313 @test getlvectorsize(r) == lsize 314 @test getnumcomponents(r) == 1 315 @test length(create_lvector(r)) == lsize 316 @test length(create_evector(r)) == 2*n 317 lv, ev = create_vectors(r) 318 @test length(lv) == lsize 319 @test length(ev) == 2*n 320 mult = getmultiplicity(r) 321 mult2 = ones(lsize) 322 mult2[n] = 2 323 @test mult == mult2 324 rand_lv = rand(CeedScalar, lsize) 325 rand_ev = [rand_lv[1:n]; rand_lv[n:end]] 326 @test apply(r, rand_lv) == rand_ev 327 @test apply(r, rand_ev; tmode=TRANSPOSE) == rand_lv.*mult 328 @test showstr(r) == string( 329 "CeedElemRestriction from (19, 1) to 2 elements ", 330 "with 10 nodes each and component stride 19", 331 ) 332 333 strides = CeedInt[1, n, n] 334 rs = create_elem_restriction_strided(c, 1, n, 1, n, strides) 335 @test showstr(rs) == string( 336 "CeedElemRestriction from (10, 1) to 1 elements ", 337 "with 10 nodes each and strides [1, $n, $n]", 338 ) 339 340 @test ElemRestrictionNone()[] == LibCEED.C.CEED_ELEMRESTRICTION_NONE[] 341 end 342 end 343end 344