format

Author: Vaibhavdixit02

lib/OptimizationOptimisers/src/OptimizationOptimisers.jl

@@ -130,7 +130,7 @@ function SciMLBase.__solve(cache::OptimizationCache{
                         min_err = x
                         min_θ = copy(θ)
                     end
-                    if iterations == length(data)*epochs  #Last iter, revert to best.
+                    if iterations == length(data) * epochs  #Last iter, revert to best.
                         opt = min_opt
                         x = min_err
                         θ = min_θ

lib/OptimizationOptimisers/test/runtests.jl

@@ -99,9 +99,9 @@ end
 
     res = Optimization.solve(prob, Optimisers.Adam(), epochs = 50)
 
-    @test res.stats.iterations == 50*length(data)
-    @test res.stats.fevals == 50*length(data)
-    @test res.stats.gevals == 50*length(data)
+    @test res.stats.iterations == 50 * length(data)
+    @test res.stats.fevals == 50 * length(data)
+    @test res.stats.gevals == 50 * length(data)
 
     res = Optimization.solve(prob, Optimisers.Adam(), callback = callback, epochs = 100)