format

Author: ChrisRackauckas

docs/src/examples/Carcione2020.md

@@ -1,41 +1,41 @@
-# Sensitivity Analysis of the Carcione2020 Epidemic Model
-
-```@example carcione
-cd(@__DIR__)
-using SBMLToolkit, ModelingToolkit, EasyModelAnalysis, UnPack
-
-xmlfile = "../assets/Carcione2020.xml"
-
-SBMLToolkit.checksupport_file(xmlfile)
-mdl = readSBML(xmlfile, doc -> begin
-    set_level_and_version(3, 2)(doc)
-    convert_simplify_math(doc)
-end)
-
-rs = ReactionSystem(mdl)  # If you want to create a reaction system
-odesys = convert(ODESystem, rs)  # Alternatively: ODESystem(mdl)
-```
-
-```@example carcione
-sys = structural_simplify(odesys)
-```
-
-```@example carcione
-@unpack Infected, Exposed, Deceased, Recovered, Total_population, Susceptible = sys
-@unpack alpha, epsilon, gamma, mu, beta, City = sys
-tspan = (0., 1.)
-prob = ODEProblem(odesys, [], tspan, [])
-sol = solve(prob, Rodas5())
-plot(sol, idxs = Deceased)
-```
-
-```@example carcione
-pbounds = [
-    alpha => [0.003, 0.006],
-    epsilon => [1/6, 1/2],
-    gamma => [0.1, 0.2],
-    mu => [0.01, 0.02],
-    beta => [0.7, 0.9]
-]
-create_sensitivity_plot(prob, 100.0, Deceased, pbounds; samples = 2000)
-```
+# Sensitivity Analysis of the Carcione2020 Epidemic Model
+
+```@example carcione
+cd(@__DIR__)
+using SBMLToolkit, ModelingToolkit, EasyModelAnalysis, UnPack
+
+xmlfile = "../assets/Carcione2020.xml"
+
+SBMLToolkit.checksupport_file(xmlfile)
+mdl = readSBML(xmlfile, doc -> begin
+                   set_level_and_version(3, 2)(doc)
+                   convert_simplify_math(doc)
+               end)
+
+rs = ReactionSystem(mdl)  # If you want to create a reaction system
+odesys = convert(ODESystem, rs)  # Alternatively: ODESystem(mdl)
+```
+
+```@example carcione
+sys = structural_simplify(odesys)
+```
+
+```@example carcione
+@unpack Infected, Exposed, Deceased, Recovered, Total_population, Susceptible = sys
+@unpack alpha, epsilon, gamma, mu, beta, City = sys
+tspan = (0.0, 1.0)
+prob = ODEProblem(odesys, [], tspan, [])
+sol = solve(prob, Rodas5())
+plot(sol, idxs = Deceased)
+```
+
+```@example carcione
+pbounds = [
+    alpha => [0.003, 0.006],
+    epsilon => [1 / 6, 1 / 2],
+    gamma => [0.1, 0.2],
+    mu => [0.01, 0.02],
+    beta => [0.7, 0.9],
+]
+create_sensitivity_plot(prob, 100.0, Deceased, pbounds; samples = 2000)
+```

docs/src/scenarios/scenario1.md

@@ -150,8 +150,7 @@ kappa             # fraction vaccinated
 
 system = ODESystem(seirdnat_v)
 prob = ODEProblem(system, [10000000-99500, 99500, 1, 0, 0.0], [0, 100],
-                  [0.75, 1/5.7, 1/3.31, 0.012048, 1e-3, 1e-3, 1e-3, 1e-3])
-
+[0.75, 1/5.7, 1/3.31, 0.012048, 1e-3, 1e-3, 1e-3, 1e-3])
 
 ### Question 4