Formatting

QuantumKitHub · Jul 9, 2024 · d09561f · d09561f
1 parent 66a827e
commit d09561f
Show file tree

Hide file tree

Showing 2 changed files with 15 additions and 5 deletions.
diff --git a/test/ctmrg/gaugefix.jl b/test/ctmrg/gaugefix.jl
@@ -46,7 +46,9 @@ end
     ctm = CTMRGEnv(psi; Venv=ctm_space)
 
     verbosity = 1
-    alg = CTMRG(; tol=1e-10, miniter=4, maxiter=400, verbosity, trscheme=truncdim(dim(ctm_space)))
+    alg = CTMRG(;
+        tol=1e-10, miniter=4, maxiter=400, verbosity, trscheme=truncdim(dim(ctm_space))
+    )
     alg_fixed = @set alg.projector_alg.trscheme = FixedSpaceTruncation()
 
     ctm = leading_boundary(ctm, psi, alg)
@@ -69,7 +71,9 @@ end
     ctm = CTMRGEnv(psi; Venv=ctm_space)
 
     verbosity = 1
-    alg = CTMRG(; tol=1e-10, miniter=4, maxiter=400, verbosity, trscheme=truncdim(dim(ctm_space)))
+    alg = CTMRG(;
+        tol=1e-10, miniter=4, maxiter=400, verbosity, trscheme=truncdim(dim(ctm_space))
+    )
     alg_fixed = @set alg.projector_alg.trscheme = FixedSpaceTruncation()
 
     ctm = leading_boundary(ctm, psi, alg)

diff --git a/test/ctmrg/svd_wrapper.jl b/test/ctmrg/svd_wrapper.jl
@@ -76,13 +76,19 @@ symm_R = TensorMap(randn, dtype, space(symm_r))
     @test l_itersvd ≈ l_fullsvd
     @test norm(g_fullsvd[1] - g_itersvd[1]) / norm(g_fullsvd[1]) < rtol
 
-    l_fullsvd_tr, g_fullsvd_tr = withgradient(A -> lossfun(A, full_alg, symm_R, symm_trspace), symm_r)
-    l_itersvd_tr, g_itersvd_tr = withgradient(A -> lossfun(A, iter_alg, symm_R, symm_trspace), symm_r)
+    l_fullsvd_tr, g_fullsvd_tr = withgradient(
+        A -> lossfun(A, full_alg, symm_R, symm_trspace), symm_r
+    )
+    l_itersvd_tr, g_itersvd_tr = withgradient(
+        A -> lossfun(A, iter_alg, symm_R, symm_trspace), symm_r
+    )
     @test l_itersvd_tr ≈ l_fullsvd_tr
     @test norm(g_fullsvd_tr[1] - g_itersvd_tr[1]) / norm(g_fullsvd_tr[1]) < rtol
 
     iter_alg_fallback = @set iter_alg.svd_alg.fallback_threshold = 0.4  # Do dense SVD in one block, sparse SVD in the other
-    l_itersvd_fb, g_itersvd_fb = withgradient(A -> lossfun(A, iter_alg_fallback, symm_R, symm_trspace), symm_r)
+    l_itersvd_fb, g_itersvd_fb = withgradient(
+        A -> lossfun(A, iter_alg_fallback, symm_R, symm_trspace), symm_r
+    )
     @test l_itersvd_fb ≈ l_fullsvd_tr
     @test norm(g_fullsvd_tr[1] - g_itersvd_fb[1]) / norm(g_fullsvd_tr[1]) < rtol
 end