|
| 1 | +using Test, TestExtras |
| 2 | +using TensorKit |
| 3 | +import TensorKit as TK |
| 4 | +using Random: randperm |
| 5 | +using TensorOperations |
| 6 | + |
| 7 | +# TODO: remove this once type_repr works for all included types |
| 8 | +using TensorKitSectors |
| 9 | + |
| 10 | + |
| 11 | +@timedtestset "Fusion trees for $(TensorKit.type_repr(I))" verbose = true for I in (fast_tests ? fast_sectorlist : sectorlist) |
| 12 | + Istr = TensorKit.type_repr(I) |
| 13 | + @testset "Fusion tree $Istr: merging" begin |
| 14 | + N = 3 |
| 15 | + out1 = random_fusion(I, Val(N)) |
| 16 | + out2 = random_fusion(I, Val(N)) |
| 17 | + in1 = rand(collect(⊗(out1...))) |
| 18 | + in2 = rand(collect(⊗(out2...))) |
| 19 | + tp = ⊗(in1, in2) # messy solution but it works |
| 20 | + while isempty(tp) |
| 21 | + out1 = random_fusion(I, Val(N)) |
| 22 | + out2 = random_fusion(I, Val(N)) |
| 23 | + in1 = rand(collect(⊗(out1...))) |
| 24 | + in2 = rand(collect(⊗(out2...))) |
| 25 | + tp = ⊗(in1, in2) |
| 26 | + end |
| 27 | + |
| 28 | + f1 = rand(collect(fusiontrees(out1, in1))) |
| 29 | + f2 = rand(collect(fusiontrees(out2, in2))) |
| 30 | + |
| 31 | + @constinferred TK.merge(f1, f2, first(in1 ⊗ in2), 1) |
| 32 | + if !(FusionStyle(I) isa GenericFusion) |
| 33 | + @constinferred TK.merge(f1, f2, first(in1 ⊗ in2), 1) |
| 34 | + @constinferred TK.merge(f1, f2, first(in1 ⊗ in2)) |
| 35 | + end |
| 36 | + @test dim(in1) * dim(in2) ≈ sum( |
| 37 | + abs2(coeff) * dim(c) for c in in1 ⊗ in2 |
| 38 | + for μ in 1:Nsymbol(in1, in2, c) |
| 39 | + for (f, coeff) in TK.merge(f1, f2, c, μ) |
| 40 | + ) |
| 41 | + |
| 42 | + if BraidingStyle(I) isa HasBraiding |
| 43 | + for c in in1 ⊗ in2 |
| 44 | + R = Rsymbol(in1, in2, c) |
| 45 | + for μ in 1:Nsymbol(in1, in2, c) |
| 46 | + trees1 = TK.merge(f1, f2, c, μ) |
| 47 | + |
| 48 | + # test merge and braid interplay |
| 49 | + trees2 = Dict{keytype(trees1), complex(valtype(trees1))}() |
| 50 | + trees3 = Dict{keytype(trees1), complex(valtype(trees1))}() |
| 51 | + for ν in 1:Nsymbol(in2, in1, c) |
| 52 | + for (t, coeff) in TK.merge(f2, f1, c, ν) |
| 53 | + trees2[t] = get(trees2, t, zero(valtype(trees2))) + coeff * R[μ, ν] |
| 54 | + end |
| 55 | + end |
| 56 | + perm = ((N .+ (1:N))..., (1:N)...) |
| 57 | + levels = ntuple(identity, 2 * N) |
| 58 | + for (t, coeff) in trees1 |
| 59 | + for (t′, coeff′) in braid(t, levels, perm) |
| 60 | + trees3[t′] = get(trees3, t′, zero(valtype(trees3))) + coeff * coeff′ |
| 61 | + end |
| 62 | + end |
| 63 | + for (t, coeff) in trees3 |
| 64 | + coeff′ = get(trees2, t, zero(coeff)) |
| 65 | + @test isapprox(coeff, coeff′; atol = 1.0e-12, rtol = 1.0e-12) |
| 66 | + end |
| 67 | + |
| 68 | + # test via conversion |
| 69 | + if (BraidingStyle(I) isa Bosonic) && hasfusiontensor(I) |
| 70 | + Af1 = convert(Array, f1) |
| 71 | + Af2 = convert(Array, f2) |
| 72 | + Af0 = convert( |
| 73 | + Array, |
| 74 | + FusionTree((f1.coupled, f2.coupled), c, (false, false), (), (μ,)) |
| 75 | + ) |
| 76 | + _Af = TensorOperations.tensorcontract( |
| 77 | + 1:(N + 2), Af1, [1:N; -1], Af0, [-1; N + 1; N + 2] |
| 78 | + ) |
| 79 | + Af = TensorOperations.tensorcontract( |
| 80 | + 1:(2N + 1), Af2, [N .+ (1:N); -1], _Af, [1:N; -1; 2N + 1] |
| 81 | + ) |
| 82 | + Af′ = zero(Af) |
| 83 | + for (f, coeff) in trees1 |
| 84 | + Af′ .+= coeff .* convert(Array, f) |
| 85 | + end |
| 86 | + @test Af ≈ Af′ |
| 87 | + end |
| 88 | + end |
| 89 | + end |
| 90 | + end |
| 91 | + end |
| 92 | + |
| 93 | + if I <: ProductSector |
| 94 | + N = 3 |
| 95 | + else |
| 96 | + N = 4 |
| 97 | + end |
| 98 | + if UnitStyle(I) isa SimpleUnit |
| 99 | + out = random_fusion(I, Val(N)) |
| 100 | + numtrees = count(n -> true, fusiontrees((out..., map(dual, out)...))) |
| 101 | + while !(0 < numtrees < 100) |
| 102 | + out = random_fusion(I, Val(N)) |
| 103 | + numtrees = count(n -> true, fusiontrees((out..., map(dual, out)...))) |
| 104 | + end |
| 105 | + incoming = rand(collect(⊗(out...))) |
| 106 | + f1 = rand(collect(fusiontrees(out, incoming, ntuple(n -> rand(Bool), N)))) |
| 107 | + f2 = rand(collect(fusiontrees(out[randperm(N)], incoming, ntuple(n -> rand(Bool), N)))) |
| 108 | + else |
| 109 | + out = random_fusion(I, Val(N)) |
| 110 | + out2 = random_fusion(I, Val(N)) |
| 111 | + tp = ⊗(out...) |
| 112 | + tp2 = ⊗(out2...) |
| 113 | + while isempty(intersect(tp, tp2)) # guarantee fusion to same coloring |
| 114 | + out2 = random_fusion(I, Val(N)) |
| 115 | + tp2 = ⊗(out2...) |
| 116 | + end |
| 117 | + @test_throws ArgumentError fusiontrees((out..., map(dual, out)...)) |
| 118 | + incoming = rand(collect(intersect(tp, tp2))) |
| 119 | + f1 = rand(collect(fusiontrees(out, incoming, ntuple(n -> rand(Bool), N)))) |
| 120 | + f2 = rand(collect(fusiontrees(out2, incoming, ntuple(n -> rand(Bool), N)))) # no permuting |
| 121 | + end |
| 122 | + |
| 123 | + @testset "Double fusion tree $Istr: repartitioning" begin |
| 124 | + for n in 0:(2 * N) |
| 125 | + d = @constinferred TK.repartition(f1, f2, $n) |
| 126 | + @test dim(incoming) ≈ |
| 127 | + sum(abs2(coef) * dim(f1.coupled) for ((f1, f2), coef) in d) |
| 128 | + d2 = Dict{typeof((f1, f2)), valtype(d)}() |
| 129 | + for ((f1′, f2′), coeff) in d |
| 130 | + for ((f1′′, f2′′), coeff2) in TK.repartition(f1′, f2′, N) |
| 131 | + d2[(f1′′, f2′′)] = get(d2, (f1′′, f2′′), zero(coeff)) + coeff2 * coeff |
| 132 | + end |
| 133 | + end |
| 134 | + for ((f1′, f2′), coeff2) in d2 |
| 135 | + if f1 == f1′ && f2 == f2′ |
| 136 | + @test coeff2 ≈ 1 |
| 137 | + else |
| 138 | + @test isapprox(coeff2, 0; atol = 1.0e-12, rtol = 1.0e-12) |
| 139 | + end |
| 140 | + end |
| 141 | + if (BraidingStyle(I) isa Bosonic) && hasfusiontensor(I) |
| 142 | + Af1 = convert(Array, f1) |
| 143 | + Af2 = permutedims(convert(Array, f2), [N:-1:1; N + 1]) |
| 144 | + sz1 = size(Af1) |
| 145 | + sz2 = size(Af2) |
| 146 | + d1 = prod(sz1[1:(end - 1)]) |
| 147 | + d2 = prod(sz2[1:(end - 1)]) |
| 148 | + dc = sz1[end] |
| 149 | + A = reshape( |
| 150 | + reshape(Af1, (d1, dc)) * reshape(Af2, (d2, dc))', |
| 151 | + (sz1[1:(end - 1)]..., sz2[1:(end - 1)]...) |
| 152 | + ) |
| 153 | + A2 = zero(A) |
| 154 | + for ((f1′, f2′), coeff) in d |
| 155 | + Af1′ = convert(Array, f1′) |
| 156 | + Af2′ = permutedims(convert(Array, f2′), [(2N - n):-1:1; 2N - n + 1]) |
| 157 | + sz1′ = size(Af1′) |
| 158 | + sz2′ = size(Af2′) |
| 159 | + d1′ = prod(sz1′[1:(end - 1)]) |
| 160 | + d2′ = prod(sz2′[1:(end - 1)]) |
| 161 | + dc′ = sz1′[end] |
| 162 | + A2 += coeff * |
| 163 | + reshape( |
| 164 | + reshape(Af1′, (d1′, dc′)) * reshape(Af2′, (d2′, dc′))', |
| 165 | + (sz1′[1:(end - 1)]..., sz2′[1:(end - 1)]...) |
| 166 | + ) |
| 167 | + end |
| 168 | + @test A ≈ A2 |
| 169 | + end |
| 170 | + end |
| 171 | + end |
| 172 | + @testset "Double fusion tree $Istr: permutation" begin |
| 173 | + if BraidingStyle(I) isa SymmetricBraiding |
| 174 | + for n in 0:(2N) |
| 175 | + p = (randperm(2 * N)...,) |
| 176 | + p1, p2 = p[1:n], p[(n + 1):(2N)] |
| 177 | + ip = invperm(p) |
| 178 | + ip1, ip2 = ip[1:N], ip[(N + 1):(2N)] |
| 179 | + |
| 180 | + d = @constinferred TK.permute(f1, f2, p1, p2) |
| 181 | + @test dim(incoming) ≈ |
| 182 | + sum(abs2(coef) * dim(f1.coupled) for ((f1, f2), coef) in d) |
| 183 | + d2 = Dict{typeof((f1, f2)), valtype(d)}() |
| 184 | + for ((f1′, f2′), coeff) in d |
| 185 | + d′ = TK.permute(f1′, f2′, ip1, ip2) |
| 186 | + for ((f1′′, f2′′), coeff2) in d′ |
| 187 | + d2[(f1′′, f2′′)] = get(d2, (f1′′, f2′′), zero(coeff)) + |
| 188 | + coeff2 * coeff |
| 189 | + end |
| 190 | + end |
| 191 | + for ((f1′, f2′), coeff2) in d2 |
| 192 | + if f1 == f1′ && f2 == f2′ |
| 193 | + @test coeff2 ≈ 1 |
| 194 | + else |
| 195 | + @test abs(coeff2) < 1.0e-12 |
| 196 | + end |
| 197 | + end |
| 198 | + |
| 199 | + if (BraidingStyle(I) isa Bosonic) && hasfusiontensor(I) |
| 200 | + A = convert(Array, (f1, f2)) |
| 201 | + Ap = permutedims(A, (p1..., p2...)) |
| 202 | + A2 = zero(Ap) |
| 203 | + for ((f1′, f2′), coeff) in d |
| 204 | + A2 .+= coeff .* convert(Array, (f1′, f2′)) |
| 205 | + end |
| 206 | + @test Ap ≈ A2 |
| 207 | + end |
| 208 | + end |
| 209 | + end |
| 210 | + end |
| 211 | + @testset "Double fusion tree $Istr: transposition" begin |
| 212 | + for n in 0:(2N) |
| 213 | + i0 = rand(1:(2N)) |
| 214 | + p = mod1.(i0 .+ (1:(2N)), 2N) |
| 215 | + ip = mod1.(-i0 .+ (1:(2N)), 2N) |
| 216 | + p′ = tuple(getindex.(Ref(vcat(1:N, (2N):-1:(N + 1))), p)...) |
| 217 | + p1, p2 = p′[1:n], p′[(2N):-1:(n + 1)] |
| 218 | + ip′ = tuple(getindex.(Ref(vcat(1:n, (2N):-1:(n + 1))), ip)...) |
| 219 | + ip1, ip2 = ip′[1:N], ip′[(2N):-1:(N + 1)] |
| 220 | + |
| 221 | + d = @constinferred transpose(f1, f2, p1, p2) |
| 222 | + @test dim(incoming) ≈ |
| 223 | + sum(abs2(coef) * dim(f1.coupled) for ((f1, f2), coef) in d) |
| 224 | + d2 = Dict{typeof((f1, f2)), valtype(d)}() |
| 225 | + for ((f1′, f2′), coeff) in d |
| 226 | + d′ = transpose(f1′, f2′, ip1, ip2) |
| 227 | + for ((f1′′, f2′′), coeff2) in d′ |
| 228 | + d2[(f1′′, f2′′)] = get(d2, (f1′′, f2′′), zero(coeff)) + coeff2 * coeff |
| 229 | + end |
| 230 | + end |
| 231 | + for ((f1′, f2′), coeff2) in d2 |
| 232 | + if f1 == f1′ && f2 == f2′ |
| 233 | + @test coeff2 ≈ 1 |
| 234 | + else |
| 235 | + @test abs(coeff2) < 1.0e-12 |
| 236 | + end |
| 237 | + end |
| 238 | + |
| 239 | + if BraidingStyle(I) isa Bosonic |
| 240 | + d3 = permute(f1, f2, p1, p2) |
| 241 | + for (f1′, f2′) in union(keys(d), keys(d3)) |
| 242 | + coeff1 = get(d, (f1′, f2′), zero(valtype(d))) |
| 243 | + coeff3 = get(d3, (f1′, f2′), zero(valtype(d3))) |
| 244 | + @test isapprox(coeff1, coeff3; atol = 1.0e-12) |
| 245 | + end |
| 246 | + end |
| 247 | + |
| 248 | + if (BraidingStyle(I) isa Bosonic) && hasfusiontensor(I) |
| 249 | + Af1 = convert(Array, f1) |
| 250 | + Af2 = convert(Array, f2) |
| 251 | + sz1 = size(Af1) |
| 252 | + sz2 = size(Af2) |
| 253 | + d1 = prod(sz1[1:(end - 1)]) |
| 254 | + d2 = prod(sz2[1:(end - 1)]) |
| 255 | + dc = sz1[end] |
| 256 | + A = reshape( |
| 257 | + reshape(Af1, (d1, dc)) * reshape(Af2, (d2, dc))', |
| 258 | + (sz1[1:(end - 1)]..., sz2[1:(end - 1)]...) |
| 259 | + ) |
| 260 | + Ap = permutedims(A, (p1..., p2...)) |
| 261 | + A2 = zero(Ap) |
| 262 | + for ((f1′, f2′), coeff) in d |
| 263 | + Af1′ = convert(Array, f1′) |
| 264 | + Af2′ = convert(Array, f2′) |
| 265 | + sz1′ = size(Af1′) |
| 266 | + sz2′ = size(Af2′) |
| 267 | + d1′ = prod(sz1′[1:(end - 1)]) |
| 268 | + d2′ = prod(sz2′[1:(end - 1)]) |
| 269 | + dc′ = sz1′[end] |
| 270 | + A2 += coeff * reshape( |
| 271 | + reshape(Af1′, (d1′, dc′)) * |
| 272 | + reshape(Af2′, (d2′, dc′))', |
| 273 | + (sz1′[1:(end - 1)]..., sz2′[1:(end - 1)]...) |
| 274 | + ) |
| 275 | + end |
| 276 | + @test Ap ≈ A2 |
| 277 | + end |
| 278 | + end |
| 279 | + end |
| 280 | + @testset "Double fusion tree $Istr: planar trace" begin |
| 281 | + d1 = transpose(f1, f1, (N + 1, 1:N..., ((2N):-1:(N + 3))...), (N + 2,)) |
| 282 | + f1front, = TK.split(f1, N - 1) |
| 283 | + T = sectorscalartype(I) |
| 284 | + d2 = Dict{typeof((f1front, f1front)), T}() |
| 285 | + for ((f1′, f2′), coeff′) in d1 |
| 286 | + for ((f1′′, f2′′), coeff′′) in |
| 287 | + TK.planar_trace( |
| 288 | + f1′, f2′, (2:N...,), (1, ((2N):-1:(N + 3))...), (N + 1,), |
| 289 | + (N + 2,) |
| 290 | + ) |
| 291 | + coeff = coeff′ * coeff′′ |
| 292 | + d2[(f1′′, f2′′)] = get(d2, (f1′′, f2′′), zero(coeff)) + coeff |
| 293 | + end |
| 294 | + end |
| 295 | + for ((f1_, f2_), coeff) in d2 |
| 296 | + if (f1_, f2_) == (f1front, f1front) |
| 297 | + @test coeff ≈ dim(f1.coupled) / dim(f1front.coupled) |
| 298 | + else |
| 299 | + @test abs(coeff) < 1.0e-12 |
| 300 | + end |
| 301 | + end |
| 302 | + end |
| 303 | + TK.empty_globalcaches!() |
| 304 | +end |
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