Remove InfiniteWeightPEPS and mirror_antidiag

docs/src/examples/2d_ising_partition_function/index.md

@@ -46,7 +46,7 @@ Since we later want to compute the magnetization and energy to check our results
 the appropriate rank-4 tensors here as well while we're at it.
 
 ````julia
-function classical_ising(; beta=log(1 + sqrt(2)) / 2, J=1.0)
+function classical_ising(; beta = log(1 + sqrt(2)) / 2, J = 1.0)
     K = beta * J
 
     # Boltzmann weights
@@ -119,12 +119,12 @@ settings:
 ````julia
 Venv = ℂ^20
 env₀ = CTMRGEnv(Z, Venv)
-env, = leading_boundary(env₀, Z; tol=1e-8, maxiter=500);
+env, = leading_boundary(env₀, Z; tol = 1.0e-8, maxiter = 500);
 ````
 
 ````
 [ Info: CTMRG init:	obj = +1.784252138312e+00 -1.557258880375e+00im	err = 1.0000e+00
-[ Info: CTMRG conv 63:	obj = +3.353928644031e+00	err = 4.5903314811e-09	time = 8.12 sec
+[ Info: CTMRG conv 63:	obj = +3.353928644031e+00	err = 4.6032264022e-09	time = 5.74 sec
 
 ````
 
@@ -159,9 +159,9 @@ e = expectation_value(Z, (1, 1) => E, env)
 ````
 
 ````
-λ = 3.3539286440313782 - 5.873212040152551e-16im
-m = 0.9736086674403001 + 1.8262157316829647e-17im
-e = -1.8637796145082437 - 1.4609725853463717e-16im
+λ = 3.353928644031378 + 7.047583922370844e-16im
+m = 0.9736086674403002 + 0.0im
+e = -1.8637796145082448 + 1.4610281815259345e-16im
 
 ````
 
@@ -174,7 +174,7 @@ magnetization and energy per site (where we use `quadgk` to perform integrals of
 auxiliary variable from $0$ to $\pi/2$):
 
 ````julia
-function classical_ising_exact(; beta=log(1 + sqrt(2)) / 2, J=1.0)
+function classical_ising_exact(; beta = log(1 + sqrt(2)) / 2, J = 1.0)
     K = beta * J
 
     k = 1 / sinh(2 * K)^2
@@ -205,9 +205,9 @@ extrapolation):
 ````
 
 ````
-(-(log(λ)) / beta - f_exact) / f_exact = -6.605563039765528e-16 - 1.447068124555315e-16im
-(abs(m) - abs(m_exact)) / abs(m_exact) = -4.561270094458082e-16
-(e - e_exact) / e_exact = -0.023732068099090543 + 7.652732508485748e-17im
+(-(log(λ)) / beta - f_exact) / f_exact = -8.807417386354037e-16 + 1.736415096112634e-16im
+(abs(m) - abs(m_exact)) / abs(m_exact) = -3.420952570843561e-16
+(e - e_exact) / e_exact = -0.02373206809908996 - 7.653023727290916e-17im
 
 ````
 

docs/src/examples/2d_ising_partition_function/main.ipynb

@@ -66,7 +66,7 @@
    "outputs": [],
    "cell_type": "code",
    "source": [
-    "function classical_ising(; beta=log(1 + sqrt(2)) / 2, J=1.0)\n",
+    "function classical_ising(; beta = log(1 + sqrt(2)) / 2, J = 1.0)\n",
     "    K = beta * J\n",
     "\n",
     "    # Boltzmann weights\n",
@@ -139,7 +139,7 @@
    "source": [
     "Venv = ℂ^20\n",
     "env₀ = CTMRGEnv(Z, Venv)\n",
-    "env, = leading_boundary(env₀, Z; tol=1e-8, maxiter=500);"
+    "env, = leading_boundary(env₀, Z; tol = 1.0e-8, maxiter = 500);"
    ],
    "metadata": {},
    "execution_count": null
@@ -202,7 +202,7 @@
    "outputs": [],
    "cell_type": "code",
    "source": [
-    "function classical_ising_exact(; beta=log(1 + sqrt(2)) / 2, J=1.0)\n",
+    "function classical_ising_exact(; beta = log(1 + sqrt(2)) / 2, J = 1.0)\n",
     "    K = beta * J\n",
     "\n",
     "    k = 1 / sinh(2 * K)^2\n",

docs/src/examples/3d_ising_partition_function/main.ipynb

@@ -72,7 +72,7 @@
    "outputs": [],
    "cell_type": "code",
    "source": [
-    "function three_dimensional_classical_ising(; beta, J=1.0)\n",
+    "function three_dimensional_classical_ising(; beta, J = 1.0)\n",
     "    K = beta * J\n",
     "\n",
     "    # Boltzmann weights\n",
@@ -197,9 +197,9 @@
    "outputs": [],
    "cell_type": "code",
    "source": [
-    "boundary_alg = SimultaneousCTMRG(; maxiter=150, tol=1e-8, verbosity=1)\n",
+    "boundary_alg = SimultaneousCTMRG(; maxiter = 150, tol = 1.0e-8, verbosity = 1)\n",
     "rrule_alg = EigSolver(;\n",
-    "    solver_alg=KrylovKit.Arnoldi(; maxiter=30, tol=1e-6, eager=true), iterscheme=:diffgauge\n",
+    "    solver_alg = KrylovKit.Arnoldi(; maxiter = 30, tol = 1.0e-6, eager = true), iterscheme = :diffgauge\n",
     ")\n",
     "T = InfinitePEPO(O)\n",
     "\n",
@@ -214,7 +214,7 @@
     "            env_double_layer,\n",
     "            n_double_layer,\n",
     "            boundary_alg;\n",
-    "            alg_rrule=rrule_alg,\n",
+    "            alg_rrule = rrule_alg,\n",
     "        )\n",
     "        # construct the PEPS-PEPO-PEPS overlap network\n",
     "        n_triple_layer = InfiniteSquareNetwork(ψ, T)\n",
@@ -224,7 +224,7 @@
     "            env_triple_layer,\n",
     "            n_triple_layer,\n",
     "            boundary_alg;\n",
-    "            alg_rrule=rrule_alg,\n",
+    "            alg_rrule = rrule_alg,\n",
     "        )\n",
     "        # update the environments for reuse\n",
     "        PEPSKit.ignore_derivatives() do\n",
@@ -299,12 +299,12 @@
     "    return (peps´, env_double_layer´, env_triple_layer´), ξ\n",
     "end\n",
     "function pepo_transport!(\n",
-    "    ξ,\n",
-    "    (peps, env_double_layer, env_triple_layer),\n",
-    "    η,\n",
-    "    α,\n",
-    "    (peps´, env_double_layer´, env_triple_layer´),\n",
-    ")\n",
+    "        ξ,\n",
+    "        (peps, env_double_layer, env_triple_layer),\n",
+    "        η,\n",
+    "        α,\n",
+    "        (peps´, env_double_layer´, env_triple_layer´),\n",
+    "    )\n",
     "    return PEPSKit.peps_transport!(\n",
     "        ξ, (peps, env_double_layer), η, α, (peps´, env_double_layer´)\n",
     "    )\n",
@@ -335,15 +335,15 @@
     "env2_0 = CTMRGEnv(InfiniteSquareNetwork(psi0), Venv)\n",
     "env3_0 = CTMRGEnv(InfiniteSquareNetwork(psi0, T), Venv)\n",
     "\n",
-    "optimizer_alg = LBFGS(32; maxiter=100, gradtol=1e-5, verbosity=3)\n",
+    "optimizer_alg = LBFGS(32; maxiter = 100, gradtol = 1.0e-5, verbosity = 3)\n",
     "\n",
     "(psi_final, env2_final, env3_final), f, = optimize(\n",
     "    pepo_costfun,\n",
     "    (psi0, env2_0, env3_0),\n",
     "    optimizer_alg;\n",
-    "    inner=PEPSKit.real_inner,\n",
-    "    retract=pepo_retract,\n",
-    "    (transport!)=(pepo_transport!),\n",
+    "    inner = PEPSKit.real_inner,\n",
+    "    retract = pepo_retract,\n",
+    "    (transport!) = (pepo_transport!),\n",
     ");"
    ],
    "metadata": {},
@@ -409,11 +409,11 @@
    "file_extension": ".jl",
    "mimetype": "application/julia",
    "name": "julia",
-   "version": "1.10.4"
+   "version": "1.11.5"
   },
   "kernelspec": {
-   "name": "julia-1.10",
-   "display_name": "Julia 1.10.4",
+   "name": "julia-1.11",
+   "display_name": "Julia 1.11.5",
    "language": "julia"
   }
  },