toint

Author: arnavk23

src/ADNLPProblems/toint.jl

@@ -1,13 +1,13 @@
 export toint
 
 function toint(; n::Int = default_nvar, kwargs...)
-  return toint(Val(:nlp); n = n, kwargs...)
+	return toint(Val(:nlp); n = n, kwargs...)
 end
 
 function toint(::Val{:nlp}; n::Int = default_nvar, type::Type{T} = Float64, kwargs...) where {T}
-  function f(x; n = length(x))
-    return sum((cos(x[i]) - x[i]^2)^2 for i = 1:n)
-  end
-  x0 = zeros(T, n)
-  return ADNLPModels.ADNLPModel(f, x0, name = "toint", minimize = true, kwargs...)
+	function f(x; n = length(x))
+		return sum((cos(x[i]) - x[i]^2)^2 for i ∈ 1:n)
+	end
+	x0 = zeros(T, n)
+	return ADNLPModels.ADNLPModel(f, x0, name = "toint", minimize = true, kwargs...)
 end