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JuliaDynamics · Jan 2, 2025 · 297d227 · 297d227
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diff --git a/src/largedeviations/geometric_min_action_method.jl b/src/largedeviations/geometric_min_action_method.jl
@@ -28,7 +28,9 @@ algorithm[^1].
 
 [^1]: [Heymann and Vanden-Eijnden, PRL (2008)](https://link.aps.org/doi/10.1103/PhysRevLett.100.140601)
 """
-function geometric_min_action_method(sys::ContinuousTimeDynamicalSystem, x_i, x_f; N=100, kwargs...)
+function geometric_min_action_method(
+    sys::ContinuousTimeDynamicalSystem, x_i, x_f; N=100, kwargs...
+)
     path = reduce(hcat, range(x_i, x_f; length=N))
     return geometric_min_action_method(sys, path; kwargs...)
 end
@@ -111,7 +113,9 @@ Solves eq. (6) of Ref.[^1] for an initial `path` with `N` points and arclength `
 
 [^1]: [Heymann and Vanden-Eijnden, PRL (2008)](https://link.aps.org/doi/10.1103/PhysRevLett.100.140601)
 """
-function heymann_vandeneijnden_step(sys::ContinuousTimeDynamicalSystem, path, N; tau=0.1, diff_order=4)
+function heymann_vandeneijnden_step(
+    sys::ContinuousTimeDynamicalSystem, path, N; tau=0.1, diff_order=4
+)
     L = 1.0
     dx = L / (N - 1)
     update = zeros(size(path))

diff --git a/src/largedeviations/sgMAM.jl b/src/largedeviations/sgMAM.jl
@@ -74,7 +74,7 @@ function sgmam(
     iterations::Int64=1000,
     show_progress::Bool=false,
     reltol::Real=NaN,
-) where T
+) where {T}
     H_p, H_x = sys.H_p, sys.H_x
 
     Nx, Nt = size(x_initial)

diff --git a/test/largedeviations/API.jl b/test/largedeviations/API.jl
@@ -1,21 +1,21 @@
 @testset "autonomous invertible additive noise" begin
     f!(du, u, p, t) = du .= 1.01u
     g_corr_alt!(du, u, p, t) = (du .= [1 0.3 1; 0.3 1 1]; return nothing)
-    corr_alt = CoupledSDEs(f!, zeros(2); g = g_corr_alt!, noise_prototype = zeros(2, 3))
+    corr_alt = CoupledSDEs(f!, zeros(2); g=g_corr_alt!, noise_prototype=zeros(2, 3))
 
     g_addit_non_autom!(du, u, p, t) = (du .= 1 / (1 + t); return nothing)
-    addit_non_autom = CoupledSDEs(f!, zeros(2); g = g_addit_non_autom!)
+    addit_non_autom = CoupledSDEs(f!, zeros(2); g=g_addit_non_autom!)
 
     g_linear_multipli!(du, u, p, t) = (du .= u; return nothing)
-    linear_multipli = CoupledSDEs(f!, rand(2) ./ 10; g = g_linear_multipli!)
+    linear_multipli = CoupledSDEs(f!, rand(2) ./ 10; g=g_linear_multipli!)
 
     x_i = SA[sqrt(2 / 3), sqrt(2 / 27)]
     x_f = SA[0.001, 0.0]
     N, T = 200, 2.0
     init = reduce(hcat, range(x_i, x_f; length=N))
 
     for inst in [corr_alt, addit_non_autom, linear_multipli]
-        @test_throws ArgumentError min_action_method(inst,init, T)
+        @test_throws ArgumentError min_action_method(inst, init, T)
         @test_throws ArgumentError geometric_min_action_method(inst, init)
         @test_throws ArgumentError sgmam(inst, init)
     end