format files

Author: ytdHuang

src/time_evolution/smesolve.jl

@@ -250,8 +250,8 @@ function smesolveEnsembleProblem(
             store_measurement = makeVal(store_measurement),
         ) : prob_func
     _output_func =
-        output_func isa Nothing ?
-        _ensemble_dispatch_output_func(ensemblealg, progress_bar, ntraj, _dummy_output_func) : output_func
+        output_func isa Nothing ? _ensemble_dispatch_output_func(ensemblealg, progress_bar, ntraj, _dummy_output_func) :
+        output_func
 
     prob_sme = smesolveProblem(
         H,

src/time_evolution/ssesolve.jl

@@ -244,8 +244,8 @@ function ssesolveEnsembleProblem(
             store_measurement = makeVal(store_measurement),
         ) : prob_func
     _output_func =
-        output_func isa Nothing ?
-        _ensemble_dispatch_output_func(ensemblealg, progress_bar, ntraj, _dummy_output_func) : output_func
+        output_func isa Nothing ? _ensemble_dispatch_output_func(ensemblealg, progress_bar, ntraj, _dummy_output_func) :
+        output_func
 
     prob_sme = ssesolveProblem(
         H,

src/time_evolution/time_evolution.jl

@@ -357,9 +357,6 @@ Helpers for handling output of ensemble problems.
 This is very useful especially for dispatching which method to use to update the progress bar.
 =#
 
-# a dummy output function which does nothing
-_dummy_output_func(sol, i) = (sol, false)
-
 # Output function with progress bar update
 function _ensemble_output_func_progress(sol, i, progr, output_func)
     next!(progr)
@@ -455,6 +452,9 @@ function _stochastic_prob_func(prob, i, repeat, rng, seeds, tlist; kwargs...)
     return remake(prob.prob, noise = noise, seed = seed)
 end
 
+# a dummy output function which does nothing (used for mapped and stochastic solvers)
+_dummy_output_func(sol, i) = (sol, false)
+
 #= 
     Define diagonal or non-diagonal noise depending on the type of `sc_ops`.
     If `sc_ops` is a `AbstractQuantumObject`, we avoid using the non-diagonal noise.