Merge pull request #158 from ChrisRackauckas/fix-formatting

Apply JuliaFormatter to fix code formatting

Author: ChrisRackauckas

src/DiffEqDevTools.jl

@@ -46,7 +46,8 @@ export test_convergence, analyticless_test_convergence, appxtrue!, appxtrue
 export get_sample_errors
 
 #Tab Functions
-export stability_region, residual_order_condition, check_tableau, imaginary_stability_interval
+export stability_region, residual_order_condition, check_tableau,
+       imaginary_stability_interval
 
 #Tableaus
 export deduce_Butcher_tableau

src/benchmark.jl

@@ -98,6 +98,7 @@ function Shootout(
         effs[i] = 1 / (errors[i] * times[i])
     end
     for j in 1:N, i in 1:N
+
         effratios[i, j] = effs[i] / effs[j]
     end
     bestidx = findall((y) -> y == maximum(effs), effs)[1]
@@ -521,6 +522,7 @@ end
         dense_errors = false)
 
     for j in 1:M, k in 1:N
+
         _abstols = get(setups[k], :abstols, abstols)
         _reltols = get(setups[k], :reltols, reltols)
         _dts = get(setups[k], :dts, zeros(length(_abstols)))

src/plotrecipes.jl

@@ -169,8 +169,9 @@ end
     y = ylims[1]:dy:ylims[2]
 
     if order_star
-        f = (u, v) -> abs(stability_region(u + v * im, tab; embedded = embedded) /
-                          exp(u + v * im)) < 1
+        f = (u,
+            v) -> abs(stability_region(u + v * im, tab; embedded = embedded) /
+                      exp(u + v * im)) < 1
     else
         f = (u, v) -> abs(stability_region(u + v * im, tab; embedded = embedded)) < 1
     end

src/tableau_info.jl

@@ -67,7 +67,7 @@ Calculates the length of the stability region in the real axis.
 See also [`imaginary_stability_interval`](@ref).
 """
 function stability_region(tab_or_alg::Union{ODERKTableau, AbstractODEAlgorithm};
-                          initial_guess = -3.0, kw...)
+        initial_guess = -3.0, kw...)
     residual! = function (resid, x)
         resid[1] = abs(stability_region(x[1], tab_or_alg)) - 1
     end
@@ -84,8 +84,8 @@ the size of the stability region on the imaginary axis.
 See also [`stability_region`](@ref).
 """
 function imaginary_stability_interval(tab::ODERKTableau;
-                                      initial_guess = length(tab) - one(eltype(tab.A)),
-                                      kw...)
+        initial_guess = length(tab) - one(eltype(tab.A)),
+        kw...)
     residual! = function (resid, x)
         resid[1] = abs(stability_region(im * x[1], tab)) - 1
     end
@@ -102,8 +102,8 @@ the size of the stability region on the imaginary axis.
 See also [`stability_region`](@ref).
 """
 function imaginary_stability_interval(alg::AbstractODEAlgorithm;
-                                      initial_guess = 20.0,
-                                      kw...)
+        initial_guess = 20.0,
+        kw...)
     residual! = function (resid, x)
         resid[1] = abs(stability_region(im * x[1], alg)) - 1
     end

test/stability_region_test.jl

@@ -8,7 +8,8 @@ using OrdinaryDiffEq
 @test @inferred(stability_region(constructTsitouras5()))≈@inferred(stability_region(Tsit5()))
 @test @inferred(stability_region(constructSSPRK104()))≈@inferred(stability_region(SSPRK104()))
 @test @inferred(stability_region(constructImplicitEuler()))≈@inferred(stability_region(ImplicitEuler()))
-@test @inferred(abs(stability_region(nextfloat(typemin(Float64)), ImplicitEuler()))) < eps(Float64)
+@test @inferred(abs(stability_region(nextfloat(typemin(Float64)), ImplicitEuler()))) <
+      eps(Float64)
 
 @test @inferred(imaginary_stability_interval(constructSSPRK33()))≈sqrt(3)
 @test @inferred(imaginary_stability_interval(constructSSPRK33(Float32)))≈sqrt(3.0f0)