revert spatial

Author: vyudu

benchmarks/Jumps/Spatial_Signaling_Sanft.jmd

@@ -57,7 +57,7 @@ function transport_model(rn, N; domain_len = 6.0, D = 1.0, rng = Random.default_
     hopping_rate = D / h^2
 
     # this indicates we have a uniform rate of D/h^2 along each edge at each site
-    hopping_constants = hopping_rate * ones(numspecies(rn), num_nodes)
+    hopping_constants = hopping_rate * ones(numspecies(rn))
 
     # figure out the indices of species EA and EB
     @unpack EA, EB = rn
@@ -211,7 +211,7 @@ We are now ready to run the benchmarks and plot the results. We start with a
 domain length of `12` μm, analogous to Fig. 6 in [^1]:
 ```julia
 bench_dict = Dict{Tuple{String, Int}, BenchmarkTools.Trial}()
-algs = [NSM(), DirectCRDirect(), CCNRM(), DirectCR()]
+algs = [NSM(), DirectCRDirect()]
 Nv = [20, 30, 40, 50, 60, 90, 120, 240, 360]
 end_times = 200.0 * ones(length(Nv))
 domain_len = 12.0