chore: Run runic formatter (#257)

Author: abhro

docs/src/examples/xrism-simulation.jl

@@ -18,14 +18,14 @@ begin
     erange = 10 .^ collect(range(log10(4), log10(20.0), 100))
     model2 = GaussianLine() + GaussianLine(μ = FitParam(10.0))
     plot(
-        erange[1:(end-1)],
+        erange[1:(end - 1)],
         @time(invokemodel(erange, model)),
         marker = :o,
         markersize = 4,
         label = "XS",
     )
     plot!(
-        erange[1:(end-1)],
+        erange[1:(end - 1)],
         @time(invokemodel(erange, model2)),
         marker = :o,
         markersize = 4,
@@ -40,14 +40,14 @@ model = XS_PowerLaw(a = FitParam(2.0), K = FitParam(1.0))
 emids = push!(copy(resp.channel_bins_low), last(resp.channel_bins_high))
 evald = push!(copy(resp.bins_low), last(resp.bins_high))
 out = resp.matrix * invokemodel(evald, model)
-plot(emids[1:(end-1)], out)
+plot(emids[1:(end - 1)], out)
 
 
-sims = @time simulate(model, resp, anc; exposure_time = 1e3, seed = 42)
-plot(sims, xscale = :log10, yscale = :log10, xlims = (1.0, 30.0), ylims = (1e-6, 100.0))
+sims = @time simulate(model, resp, anc; exposure_time = 1.0e3, seed = 42)
+plot(sims, xscale = :log10, yscale = :log10, xlims = (1.0, 30.0), ylims = (1.0e-6, 100.0))
 
 begin
-    sims = @time simulate(model, resp, nothing; exposure_time = 1e5, seed = 42)
+    sims = @time simulate(model, resp, nothing; exposure_time = 1.0e5, seed = 42)
     normalize!(faked)
     plot(
         faked,
@@ -58,7 +58,7 @@ begin
     )
     plot!(sims)
     plot!(
-        emids[1:(end-1)] .+ diff(emids) ./ 2,
+        emids[1:(end - 1)] .+ diff(emids) ./ 2,
         out .* 1.4,
         xscale = :log10,
         label = "Hand folded",
@@ -71,18 +71,18 @@ result = @time fit(prob, LevenbergMarquadt())
 plot!(faked, result)
 
 
-sims = @time simulate(model, resp, anc; exposure_time = 1e3, seed = 42)
+sims = @time simulate(model, resp, anc; exposure_time = 1.0e3, seed = 42)
 plot(
     sims,
     xscale = :log10,
     # yscale = :log10,
     xlims = (1.0, 10.0),
-    ylims = (1e-6, 40.0),
+    ylims = (1.0e-6, 40.0),
 )
 
 model = GaussianLine(μ = FitParam(7.0)) + PowerLaw(a = FitParam(0.2))
 
-sims = @time simulate(model, resp, nothing; exposure_time = 1e5, seed = 42)
+sims = @time simulate(model, resp, nothing; exposure_time = 1.0e5, seed = 42)
 
 plot(
     sims,

lib/XSPECModels/src/XSPECModels.jl

@@ -20,6 +20,7 @@ function register_xspec_data()
     register_model_data(XS_Kerrconv, "kerrtable.fits"; root = LIBXSPEC_STORAGE_PATH)
     register_model_data(XS_KyrLine, "KBHline01.fits"; root = LIBXSPEC_STORAGE_PATH)
     register_model_data(XS_Laor, "ari.mod"; root = LIBXSPEC_STORAGE_PATH)
+    return
 end
 
 
@@ -32,6 +33,7 @@ function __init__()
         # set an environment variable so we don't accidentally init again
         ENV["SPECTRAL_FITTING_XSPEC_INIT"] = "true"
     end
+    return
 end
 
 end # module XSPECModels