Formatting

Author: JoeyT1994

src/apply.jl

@@ -449,13 +449,13 @@ function optimise_p_q(
   qs_ind = setdiff(inds(q_cur), collect(Iterators.flatten(inds.(vcat(envs, p_cur)))))
   ps_ind = setdiff(inds(p_cur), collect(Iterators.flatten(inds.(vcat(envs, q_cur)))))
 
-  function b(p::ITensor, q::ITensor, o::ITensor, envs::Vector{ITensor}, r::ITensor;)
+  function b(p::ITensor, q::ITensor, o::ITensor, envs::Vector{ITensor}, r::ITensor)
     ts = vcat(ITensor[p, q, o, dag(prime(r))], envs)
     sequence = contraction_sequence(ts; alg="optimal")
     return noprime(ITensors.contract(ts; sequence))
   end
 
-  function M_p(envs::Vector{ITensor}, p_q_tensor::ITensor, s_ind, apply_tensor::ITensor;)
+  function M_p(envs::Vector{ITensor}, p_q_tensor::ITensor, s_ind, apply_tensor::ITensor)
     ts = vcat(
       ITensor[
         p_q_tensor, replaceinds(prime(dag(p_q_tensor)), prime(s_ind), s_ind), apply_tensor

src/caches/beliefpropagationcache.jl

@@ -94,15 +94,15 @@ function environment(bpc::BeliefPropagationCache, verts::Vector; kwargs...)
   return vcat(messages, central_tensors)
 end
 
-function region_scalar(bp_cache::BeliefPropagationCache, pv::PartitionVertex;)
+function region_scalar(bp_cache::BeliefPropagationCache, pv::PartitionVertex)
   incoming_mts = incoming_messages(bp_cache, [pv])
   local_state = factors(bp_cache, pv)
   ts = vcat(incoming_mts, local_state)
   sequence = contraction_sequence(ts; alg="optimal")
   return contract(ts; sequence)[]
 end
 
-function region_scalar(bp_cache::BeliefPropagationCache, pe::PartitionEdge;)
+function region_scalar(bp_cache::BeliefPropagationCache, pe::PartitionEdge)
   ts = vcat(message(bp_cache, pe), message(bp_cache, reverse(pe)))
   sequence = contraction_sequence(ts; alg="optimal")
   return contract(ts; sequence)[]