cleaned

Author: flibbi

Project.toml

@@ -4,12 +4,12 @@ authors = ["Francesco Libbi <libbi@g.harvard.edu>", "Lorenzo Monacelli <lorenzo.
 version = "1.0.0-dev"
 
 [deps]
-ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
+#ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 MPI = "da04e1cc-30fd-572f-bb4f-1f8673147195"
-Optim = "429524aa-4258-5aef-a3af-852621145aeb"
+#Optim = "429524aa-4258-5aef-a3af-852621145aeb"
 Optimization = "7f7a1694-90dd-40f0-9382-eb1efda571ba"
-OptimizationOptimJL = "36348300-93cb-4f02-beb5-3c3902f8871e"
+#OptimizationOptimJL = "36348300-93cb-4f02-beb5-3c3902f8871e"
 PyCall = "438e738f-606a-5dbb-bf0a-cddfbfd45ab0"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 Roots = "f2b01f46-fcfa-551c-844a-d8ac1e96c665"
@@ -18,10 +18,10 @@ Roots = "f2b01f46-fcfa-551c-844a-d8ac1e96c665"
 MPI = "0.20.23"
 PyCall = "1.96.4"
 julia = "1.10"               
-ForwardDiff = "0.10"
-Optim = "1"
+#ForwardDiff = "0.10"
+#Optim = "1"
 Optimization = "3"
-OptimizationOptimJL = "0.3"
+#OptimizationOptimJL = "0.3"
 Roots = "2"
 
 [extras]