diff --git a/src/ADNLPProblems/allinit.jl b/src/ADNLPProblems/allinit.jl
index d2b2469e..a2590ed5 100644
--- a/src/ADNLPProblems/allinit.jl
+++ b/src/ADNLPProblems/allinit.jl
@@ -21,8 +21,8 @@ function allinit(; n::Int = default_nvar, type::Type{T} = Float64, kwargs...) wh
   #  return cx
   #end
   A = T[
-    0 0 0 1;
-    0 1 0 0;
+    0 0 0 1
+    0 1 0 0
     0 0 1 0
   ]
 
diff --git a/src/ADNLPProblems/allinitc.jl b/src/ADNLPProblems/allinitc.jl
index c01dd1ef..942ee6d8 100644
--- a/src/ADNLPProblems/allinitc.jl
+++ b/src/ADNLPProblems/allinitc.jl
@@ -19,8 +19,8 @@ function allinitc(; n::Int = default_nvar, type::Type{T} = Float64, kwargs...) w
     return cx
   end
   A = T[
-    0 0 0 1;
-    0 1 0 0;
+    0 0 0 1
+    0 1 0 0
     0 0 1 0
   ]
 
diff --git a/src/ADNLPProblems/alsotame.jl b/src/ADNLPProblems/alsotame.jl
index 23535916..fb1e980e 100644
--- a/src/ADNLPProblems/alsotame.jl
+++ b/src/ADNLPProblems/alsotame.jl
@@ -15,7 +15,7 @@ function alsotame(; n::Int = default_nvar, type::Type{T} = Float64, kwargs...) w
     return cx
   end
   A = T[
-    1 0 0;
+    1 0 0
     0 1 0
   ]
 
diff --git a/src/ADNLPProblems/avion2.jl b/src/ADNLPProblems/avion2.jl
index 36f218c0..47c60164 100644
--- a/src/ADNLPProblems/avion2.jl
+++ b/src/ADNLPProblems/avion2.jl
@@ -179,8 +179,145 @@ function avion2(::Val{:nlp}; n::Int = default_nvar, type::Type{T} = Float64, kwa
     1,
     1,
   ]
-  A = sparse([1, 2, 3, 2, 4, 3, 1, 4, 4, 4, 4, 5, 5, 7, 10, 14, 6, 8, 14, 14, 6, 13, 15, 7, 7, 8, 15, 9, 15, 10, 15, 11, 15, 12, 15, 13, 15, 9, 14, 11, 14, 12, 14], [1, 1, 2, 5, 5, 6, 7, 7, 8, 9, 10, 10, 
-  19, 20, 20, 20, 22, 22, 22, 23, 24, 26, 31, 33, 34, 35, 35, 37, 37, 38, 38, 39, 39, 40, 40, 41, 41, 47, 47, 48, 48, 49, 49], T[-0.13, -0.7, -1.0, 1.0, -2.0, 1.0, 1.0, -2.0, -2.0, -1.0, 1.0, -20.0, 1.0, -1.0, -0.043, 0.5, -2.0, -0.137, -1.0, 1.0, 1.0, -300.0, 1.0, -1.0, 1.0, 1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, -35.0, 660.0, -200.0, 95.0, -120.0, 70.0], 15, 49)
+  A = sparse(
+    [
+      1,
+      2,
+      3,
+      2,
+      4,
+      3,
+      1,
+      4,
+      4,
+      4,
+      4,
+      5,
+      5,
+      7,
+      10,
+      14,
+      6,
+      8,
+      14,
+      14,
+      6,
+      13,
+      15,
+      7,
+      7,
+      8,
+      15,
+      9,
+      15,
+      10,
+      15,
+      11,
+      15,
+      12,
+      15,
+      13,
+      15,
+      9,
+      14,
+      11,
+      14,
+      12,
+      14,
+    ],
+    [
+      1,
+      1,
+      2,
+      5,
+      5,
+      6,
+      7,
+      7,
+      8,
+      9,
+      10,
+      10,
+      19,
+      20,
+      20,
+      20,
+      22,
+      22,
+      22,
+      23,
+      24,
+      26,
+      31,
+      33,
+      34,
+      35,
+      35,
+      37,
+      37,
+      38,
+      38,
+      39,
+      39,
+      40,
+      40,
+      41,
+      41,
+      47,
+      47,
+      48,
+      48,
+      49,
+      49,
+    ],
+    T[
+      -0.13,
+      -0.7,
+      -1.0,
+      1.0,
+      -2.0,
+      1.0,
+      1.0,
+      -2.0,
+      -2.0,
+      -1.0,
+      1.0,
+      -20.0,
+      1.0,
+      -1.0,
+      -0.043,
+      0.5,
+      -2.0,
+      -0.137,
+      -1.0,
+      1.0,
+      1.0,
+      -300.0,
+      1.0,
+      -1.0,
+      1.0,
+      1.0,
+      -1.0,
+      1.0,
+      1.0,
+      1.0,
+      1.0,
+      1.0,
+      1.0,
+      1.0,
+      1.0,
+      1.0,
+      1.0,
+      -35.0,
+      660.0,
+      -200.0,
+      95.0,
+      -120.0,
+      70.0,
+    ],
+    15,
+    49,
+  )
   function c!(cx, x)
     return cx
   end
@@ -289,7 +426,18 @@ function avion2(::Val{:nlp}; n::Int = default_nvar, type::Type{T} = Float64, kwa
     2,
   ]
 
-  return ADNLPModels.ADNLPModel!(f, x0, lvar, uvar, findnz(A)..., c!, lcon, ucon, name = "avion2"; kwargs...)
+  return ADNLPModels.ADNLPModel!(
+    f,
+    x0,
+    lvar,
+    uvar,
+    findnz(A)...,
+    c!,
+    lcon,
+    ucon,
+    name = "avion2";
+    kwargs...,
+  )
 end
 
 function avion2(::Val{:nls}; n::Int = default_nvar, type::Type{T} = Float64, kwargs...) where {T}
diff --git a/src/ADNLPProblems/booth.jl b/src/ADNLPProblems/booth.jl
index aed920e9..f9f4bd50 100644
--- a/src/ADNLPProblems/booth.jl
+++ b/src/ADNLPProblems/booth.jl
@@ -7,7 +7,7 @@ function booth(; n::Int = default_nvar, type::Type{T} = Float64, kwargs...) wher
   x0 = zeros(T, 2)
 
   A = T[
-    1 2;
+    1 2
     2 1
   ]
   function c!(cx, x)
diff --git a/src/ADNLPProblems/camshape.jl b/src/ADNLPProblems/camshape.jl
index 35b16126..3478bf75 100644
--- a/src/ADNLPProblems/camshape.jl
+++ b/src/ADNLPProblems/camshape.jl
@@ -24,10 +24,10 @@ function camshape(args...; n::Int = default_nvar, type::Type{T} = Float64, kwarg
   ucon = vcat(T(0), T(α * θ) * ones(T, n + 1), zeros(T, n + 1))
 
   A = zeros(T, n + 2, n)
-  A[2,n] = -1
+  A[2, n] = -1
   lcon[2] -= R_max
   ucon[2] -= R_max
-  A[3,1] = 1
+  A[3, 1] = 1
   lcon[3] += R_min
   ucon[3] += R_min
   for i = 1:(n - 1)
@@ -35,13 +35,25 @@ function camshape(args...; n::Int = default_nvar, type::Type{T} = Float64, kwarg
     A[3 + i, i] = -1
   end
   # cx[n + 3] = -R_min^2 - R_min * y[1] + 2 * R_min * y[1] * cos(θ)
-  A[1, 1] =  -R_min + 2 * R_min * cos(θ)
+  A[1, 1] = -R_min + 2 * R_min * cos(θ)
   lcon[1] += R_min^2
   ucon[1] += R_min^2
 
   lvar = T(R_min) * ones(T, n)
   uvar = T(R_max) * ones(T, n)
-  
+
   x0 = T((R_min + R_max) / 2) * ones(T, n)
-  return ADNLPModels.ADNLPModel!(f, x0, lvar, uvar, findnz(sparse(A))..., c!, lcon, ucon, name = "camshape", ; kwargs...)
+  return ADNLPModels.ADNLPModel!(
+    f,
+    x0,
+    lvar,
+    uvar,
+    findnz(sparse(A))...,
+    c!,
+    lcon,
+    ucon,
+    name = "camshape",
+    ;
+    kwargs...,
+  )
 end
diff --git a/src/ADNLPProblems/catenary.jl b/src/ADNLPProblems/catenary.jl
index 34d1c4f7..0c4756f6 100644
--- a/src/ADNLPProblems/catenary.jl
+++ b/src/ADNLPProblems/catenary.jl
@@ -1,6 +1,13 @@
 export catenary
 
-function catenary(args...; n::Int = default_nvar, type::Type{T} = Float64, Bl = 1, FRACT = 0.6, kwargs...) where {T}
+function catenary(
+  args...;
+  n::Int = default_nvar,
+  type::Type{T} = Float64,
+  Bl = 1,
+  FRACT = 0.6,
+  kwargs...,
+) where {T}
   (n % 3 == 0) || @warn("catenary: number of variables adjusted to be a multiple of 3")
   n = 3 * max(1, div(n, 3))
   (n < 6) || @warn("catenary: number of variables adjusted to be greater or equal to 6")
diff --git a/src/ADNLPProblems/hs100.jl b/src/ADNLPProblems/hs100.jl
index a8e4d2e4..8365cacc 100644
--- a/src/ADNLPProblems/hs100.jl
+++ b/src/ADNLPProblems/hs100.jl
@@ -12,8 +12,8 @@ function hs100(; n::Int = default_nvar, type::Type{T} = Float64, kwargs...) wher
   end
   x0 = T[1, 2, 0, 4, 0, 1, 1]
   function c!(cx, x)
-    cx[1] = - 7 * x[1] - 3 * x[2] - 10 * x[3]^2 - x[4] + x[5]
-    cx[2] = - 23 * x[1] - x[2]^2 - 6 * x[6]^2 + 8 * x[7]
+    cx[1] = -7 * x[1] - 3 * x[2] - 10 * x[3]^2 - x[4] + x[5]
+    cx[2] = -23 * x[1] - x[2]^2 - 6 * x[6]^2 + 8 * x[7]
     cx[4] = 127 - 2 * x[1]^2 - 3 * x[2]^4 - x[3] - 4 * x[4]^2 - 5 * x[5]
     cx[3] = -4 * x[1]^2 - x[2]^2 + 3 * x[1] * x[2] - 2 * x[3]^2 - 5 * x[6] + 11 * x[7]
     return cx
diff --git a/src/ADNLPProblems/hs108.jl b/src/ADNLPProblems/hs108.jl
index 170ad9fb..ed7951a2 100644
--- a/src/ADNLPProblems/hs108.jl
+++ b/src/ADNLPProblems/hs108.jl
@@ -10,16 +10,16 @@ function hs108(; n::Int = default_nvar, type::Type{T} = Float64, kwargs...) wher
   lvar = T[-Inf, -Inf, -Inf, -Inf, -Inf, -Inf, -Inf, -Inf, 0]
   uvar = T(Inf) * ones(T, 9)
   function c!(cx, x)
-    cx[1] = - x[3]^2 - x[4]^2
-    cx[2] = - x[5]^2 - x[6]^2
-    cx[3] = - (x[1] - x[5])^2 - (x[2] - x[6])^2
-    cx[4] = - (x[1] - x[7])^2 - (x[2] - x[8])^2
-    cx[5] = - (x[3] - x[5])^2 - (x[4] - x[6])^2
-    cx[6] = - (x[3] - x[7])^2 - (x[4] - x[8])^2
+    cx[1] = -x[3]^2 - x[4]^2
+    cx[2] = -x[5]^2 - x[6]^2
+    cx[3] = -(x[1] - x[5])^2 - (x[2] - x[6])^2
+    cx[4] = -(x[1] - x[7])^2 - (x[2] - x[8])^2
+    cx[5] = -(x[3] - x[5])^2 - (x[4] - x[6])^2
+    cx[6] = -(x[3] - x[7])^2 - (x[4] - x[8])^2
     cx[7] = x[3] * x[9]
     cx[8] = x[5] * x[8] - x[6] * x[7]
-    cx[9] = - x[9]^2
-    cx[10] = - x[1]^2 - (x[2] - x[9])^2
+    cx[9] = -x[9]^2
+    cx[10] = -x[1]^2 - (x[2] - x[9])^2
     cx[11] = x[1] * x[4] - x[2] * x[3]
     cx[12] = -x[5] * x[9]
     return cx
diff --git a/src/ADNLPProblems/hs109.jl b/src/ADNLPProblems/hs109.jl
index b694e13e..eb1e9611 100644
--- a/src/ADNLPProblems/hs109.jl
+++ b/src/ADNLPProblems/hs109.jl
@@ -12,8 +12,8 @@ function hs109(; n::Int = default_nvar, type::Type{T} = Float64, kwargs...) wher
     a = 50176 // 1000
     b = sin(eltype(x)(25 // 100))
     ci = cos(eltype(x)(25 // 100))
-    cx[1] = - x[1]^2 - x[8]^2
-    cx[2] = - x[2]^2 - x[9]^2
+    cx[1] = -x[1]^2 - x[8]^2
+    cx[2] = -x[2]^2 - x[9]^2
     cx[3] =
       x[5] * x[6] * sin(-x[3] - 1 / 4) + x[5] * x[7] * sin(-x[4] - 1 / 4) + 2 * b * x[5]^2 -
       a * x[1] + 400 * a
@@ -36,7 +36,7 @@ function hs109(; n::Int = default_nvar, type::Type{T} = Float64, kwargs...) wher
       2 * ci * x[7]^2 + 0.7533e-3 * a * x[7]^2
     return cx
   end
-  lcon = vcat(-T(0.55), - 2250000, -2250000, zeros(T, 6))
+  lcon = vcat(-T(0.55), -2250000, -2250000, zeros(T, 6))
   ucon = vcat(T(0.55), T(Inf), T(Inf), zeros(T, 6))
   return ADNLPModels.ADNLPModel!(
     f,
diff --git a/src/ADNLPProblems/hs116.jl b/src/ADNLPProblems/hs116.jl
index 1912757c..f5db168e 100644
--- a/src/ADNLPProblems/hs116.jl
+++ b/src/ADNLPProblems/hs116.jl
@@ -22,7 +22,7 @@ function hs116(; n::Int = default_nvar, type::Type{T} = Float64, kwargs...) wher
     cx[5] = x[12] - b * x[9] + ci * x[2] * x[9]
     cx[6] = x[11] - b * x[8] + ci * x[1] * x[8]
     cx[7] = x[5] * x[7] - x[1] * x[8] - x[4] * x[7] + x[4] * x[8]
-    cx[8] = - a * (x[2] * x[9] + x[5] * x[8] - x[1] * x[8] - x[6] * x[9]) - x[5] - x[6]
+    cx[8] = -a * (x[2] * x[9] + x[5] * x[8] - x[1] * x[8] - x[6] * x[9]) - x[5] - x[6]
     cx[9] = x[2] * x[9] - x[3] * x[10] - x[6] * x[9] - 500 * x[2] + 500 * x[6] + x[2] * x[10]
     cx[10] = x[2] - a * (x[2] * x[10] - x[3] * x[10])
     return cx
diff --git a/src/ADNLPProblems/hs225.jl b/src/ADNLPProblems/hs225.jl
index 18b0758c..7826b370 100644
--- a/src/ADNLPProblems/hs225.jl
+++ b/src/ADNLPProblems/hs225.jl
@@ -7,7 +7,7 @@ function hs225(; n::Int = default_nvar, type::Type{T} = Float64, kwargs...) wher
   x0 = T[3, 1]
   function c!(cx, x)
     cx[1] = x[1]^2 + x[2]^2
-    cx[2] = 9 * x[1]^2 + x[2]^2 
+    cx[2] = 9 * x[1]^2 + x[2]^2
     cx[3] = x[1]^2 - x[2]
     cx[4] = x[2]^2 - x[1]
     return cx
diff --git a/src/ADNLPProblems/hs226.jl b/src/ADNLPProblems/hs226.jl
index 2ec29fc6..82258632 100644
--- a/src/ADNLPProblems/hs226.jl
+++ b/src/ADNLPProblems/hs226.jl
@@ -10,7 +10,7 @@ function hs226(; n::Int = default_nvar, type::Type{T} = Float64, kwargs...) wher
   uvar = T[Inf, Inf]
   function c!(cx, x)
     cx[1] = x[1]^2 + x[2]^2
-    cx[2] = - x[1]^2 - x[2]^2
+    cx[2] = -x[1]^2 - x[2]^2
     return cx
   end
   lcon = T[0; -1]
diff --git a/src/ADNLPProblems/hs23.jl b/src/ADNLPProblems/hs23.jl
index 0d6cb050..ccf35324 100644
--- a/src/ADNLPProblems/hs23.jl
+++ b/src/ADNLPProblems/hs23.jl
@@ -15,7 +15,7 @@ function hs23(::Val{:nlp}; n::Int = default_nvar, type::Type{T} = Float64, kwarg
   uvar = 50 * ones(T, 2)
   function c!(cx, x)
     cx[1] = x[1]^2 + x[2]^2
-    cx[2] = 9 * x[1]^2 + x[2]^2 
+    cx[2] = 9 * x[1]^2 + x[2]^2
     cx[3] = x[1]^2 - x[2]
     cx[4] = x[2]^2 - x[1]
     return cx
diff --git a/src/ADNLPProblems/hs47.jl b/src/ADNLPProblems/hs47.jl
index 62ccda1b..7cd1db6d 100644
--- a/src/ADNLPProblems/hs47.jl
+++ b/src/ADNLPProblems/hs47.jl
@@ -1,7 +1,7 @@
 export hs47
 
 function hs47(; n::Int = default_nvar, type::Type{T} = Float64, kwargs...) where {T}
-  function c!(cx, x)  
+  function c!(cx, x)
     cx[3] = x[1] + x[2]^2 + x[3]^3 - 3
     cx[1] = x[2] - x[3]^2 + x[4]
     cx[2] = x[1] * x[5]
diff --git a/src/ADNLPProblems/hs72.jl b/src/ADNLPProblems/hs72.jl
index 9bd48a24..0769fde0 100644
--- a/src/ADNLPProblems/hs72.jl
+++ b/src/ADNLPProblems/hs72.jl
@@ -9,8 +9,8 @@ function hs72(; n::Int = default_nvar, type::Type{T} = Float64, kwargs...) where
   lvar = T(0.001) * ones(T, 4)
   uvar = T[(5 - i) * 1e5 for i = 1:4]
   function c!(cx, x)
-    cx[1] = + 4 / x[1] + 2.25 / x[2] + 1 / x[3] + 0.25 / x[4] - 0.0401
-    cx[2] = + 0.16 / x[1] + 0.36 / x[2] + 0.64 / x[3] + 0.64 / x[4] - 0.010085
+    cx[1] = +4 / x[1] + 2.25 / x[2] + 1 / x[3] + 0.25 / x[4] - 0.0401
+    cx[2] = +0.16 / x[1] + 0.36 / x[2] + 0.64 / x[3] + 0.64 / x[4] - 0.010085
     return cx
   end
   lcon = -T(Inf) * ones(T, 2)
diff --git a/src/ADNLPProblems/hs95.jl b/src/ADNLPProblems/hs95.jl
index e38ef216..80bd5323 100644
--- a/src/ADNLPProblems/hs95.jl
+++ b/src/ADNLPProblems/hs95.jl
@@ -22,8 +22,7 @@ function hs95(; n::Int = default_nvar, type::Type{T} = Float64, kwargs...) where
       17.9 * x[1] + 36.8 * x[2] + 113.9 * x[3] + 169.7 * x[4] + 337.8 * x[5] + 1385.2 * x[6] -
       139 * x[1] * x[3] - 2450 * x[4] * x[5] - 16600 * x[4] * x[6] - 17200 * x[5] * x[6]
     cx[3] = -273 * x[2] - 70 * x[4] - 819 * x[5] + 26000 * x[4] * x[5]
-    cx[4] =
-      159.9 * x[1] - 311 * x[2] + 587 * x[4] + 391 * x[5] + 2198 * x[6] - 14000 * x[1] * x[6]
+    cx[4] = 159.9 * x[1] - 311 * x[2] + 587 * x[4] + 391 * x[5] + 2198 * x[6] - 14000 * x[1] * x[6]
     return cx
   end
   lcon = T[4.97, -1.88, -29.08, -78.02]
diff --git a/src/ADNLPProblems/hs96.jl b/src/ADNLPProblems/hs96.jl
index f73a1010..dd41eb2e 100644
--- a/src/ADNLPProblems/hs96.jl
+++ b/src/ADNLPProblems/hs96.jl
@@ -22,8 +22,7 @@ function hs96(; n::Int = default_nvar, type::Type{T} = Float64, kwargs...) where
       17.9 * x[1] + 36.8 * x[2] + 113.9 * x[3] + 169.7 * x[4] + 337.8 * x[5] + 1385.2 * x[6] -
       139 * x[1] * x[3] - 2450 * x[4] * x[5] - 16600 * x[4] * x[6] - 17200 * x[5] * x[6]
     cx[3] = -273 * x[2] - 70 * x[4] - 819 * x[5] + 26000 * x[4] * x[5]
-    cx[4] =
-      159.9 * x[1] - 311 * x[2] + 587 * x[4] + 391 * x[5] + 2198 * x[6] - 14000 * x[1] * x[6]
+    cx[4] = 159.9 * x[1] - 311 * x[2] + 587 * x[4] + 391 * x[5] + 2198 * x[6] - 14000 * x[1] * x[6]
     return cx
   end
   lcon = T[4.97, -1.88, -69.08, -118.02]
diff --git a/src/ADNLPProblems/hs97.jl b/src/ADNLPProblems/hs97.jl
index 1aba173f..9a247dc4 100644
--- a/src/ADNLPProblems/hs97.jl
+++ b/src/ADNLPProblems/hs97.jl
@@ -22,8 +22,7 @@ function hs97(; n::Int = default_nvar, type::Type{T} = Float64, kwargs...) where
       17.9 * x[1] + 36.8 * x[2] + 113.9 * x[3] + 169.7 * x[4] + 337.8 * x[5] + 1385.2 * x[6] -
       139 * x[1] * x[3] - 2450 * x[4] * x[5] - 16600 * x[4] * x[6] - 17200 * x[5] * x[6]
     cx[3] = -273 * x[2] - 70 * x[4] - 819 * x[5] + 26000 * x[4] * x[5]
-    cx[4] =
-      159.9 * x[1] - 311 * x[2] + 587 * x[4] + 391 * x[5] + 2198 * x[6] - 14000 * x[1] * x[6]
+    cx[4] = 159.9 * x[1] - 311 * x[2] + 587 * x[4] + 391 * x[5] + 2198 * x[6] - 14000 * x[1] * x[6]
     return cx
   end
   lcon = T[32.97, 25.12, -29.08, -78.02]
diff --git a/src/ADNLPProblems/hs98.jl b/src/ADNLPProblems/hs98.jl
index 7f5d90fb..c819d35e 100644
--- a/src/ADNLPProblems/hs98.jl
+++ b/src/ADNLPProblems/hs98.jl
@@ -22,8 +22,7 @@ function hs98(; n::Int = default_nvar, type::Type{T} = Float64, kwargs...) where
       17.9 * x[1] + 36.8 * x[2] + 113.9 * x[3] + 169.7 * x[4] + 337.8 * x[5] + 1385.2 * x[6] -
       139 * x[1] * x[3] - 2450 * x[4] * x[5] - 16600 * x[4] * x[6] - 17200 * x[5] * x[6]
     cx[3] = -273 * x[2] - 70 * x[4] - 819 * x[5] + 26000 * x[4] * x[5]
-    cx[4] =
-      159.9 * x[1] - 311 * x[2] + 587 * x[4] + 391 * x[5] + 2198 * x[6] - 14000 * x[1] * x[6]
+    cx[4] = 159.9 * x[1] - 311 * x[2] + 587 * x[4] + 391 * x[5] + 2198 * x[6] - 14000 * x[1] * x[6]
     return cx
   end
   lcon = T[32.97, 25.12, -124.08, -173.02]
diff --git a/src/ADNLPProblems/marine.jl b/src/ADNLPProblems/marine.jl
index b3b90c7a..aa96414d 100644
--- a/src/ADNLPProblems/marine.jl
+++ b/src/ADNLPProblems/marine.jl
@@ -151,7 +151,17 @@ function marine(; n::Int = default_nvar, nc::Int = 1, type::Type{T} = Float64, k
     end
   end
 
-  function c!(cx, x; ne::Int = ne, nh::Int = nh, nc::Int = nc, h::Rational{Int} = h, fact::Vector{Int} = fact, ngm::Int = ngm, ngmv::Int = ngmv)
+  function c!(
+    cx,
+    x;
+    ne::Int = ne,
+    nh::Int = nh,
+    nc::Int = nc,
+    h::Rational{Int} = h,
+    fact::Vector{Int} = fact,
+    ngm::Int = ngm,
+    ngmv::Int = ngmv,
+  )
     g = view(x, 1:(ne - 1))
     m = view(x, ne:ngm)
     ngmw = ngmv + nh * nc * ne
@@ -182,5 +192,16 @@ function marine(; n::Int = default_nvar, nc::Int = 1, type::Type{T} = Float64, k
     return cx
   end
 
-  return ADNLPModels.ADNLPModel!(f, x0, lvar, uvar, findnz(sparse(A))..., c!, lcon, ucon, name = "marine"; kwargs...)
+  return ADNLPModels.ADNLPModel!(
+    f,
+    x0,
+    lvar,
+    uvar,
+    findnz(sparse(A))...,
+    c!,
+    lcon,
+    ucon,
+    name = "marine";
+    kwargs...,
+  )
 end
diff --git a/src/ADNLPProblems/robotarm.jl b/src/ADNLPProblems/robotarm.jl
index 55fc063c..a1264eeb 100644
--- a/src/ADNLPProblems/robotarm.jl
+++ b/src/ADNLPProblems/robotarm.jl
@@ -25,7 +25,7 @@ function robotarm(; n::Int = default_nvar, L = 4.5, type::Type{T} = Float64, kwa
 
   A = zeros(T, n, 9n + 1)
   for i = 1:n
-    A[i, 6n + i] = L 
+    A[i, 6n + i] = L
   end
 
   # constraints function 
@@ -95,5 +95,16 @@ function robotarm(; n::Int = default_nvar, L = 4.5, type::Type{T} = Float64, kwa
                                         uvar[8n] =
                                           lvar[8n + 1] = uvar[8n + 1] = lvar[9n] = uvar[9n] = T(0)
 
-  return ADNLPModels.ADNLPModel!(f, x0, lvar, uvar, findnz(sparse(A))..., c!, lcon, ucon, name = "robotarm"; kwargs...)
+  return ADNLPModels.ADNLPModel!(
+    f,
+    x0,
+    lvar,
+    uvar,
+    findnz(sparse(A))...,
+    c!,
+    lcon,
+    ucon,
+    name = "robotarm";
+    kwargs...,
+  )
 end
diff --git a/src/Meta/marine.jl b/src/Meta/marine.jl
index c32e85d7..f978ad44 100644
--- a/src/Meta/marine.jl
+++ b/src/Meta/marine.jl
@@ -21,7 +21,8 @@ get_marine_nvar(; n::Integer = default_nvar, nc::Int = 1, kwargs...) =
   8 + 7 + Int(round((n - 2 * 8 + 1) / (3 * 8 * nc + 8))) * (8 + 3 * 8 * nc)
 get_marine_ncon(; n::Integer = default_nvar, nc::Int = 1, kwargs...) =
   Int(round((n - 2 * 8 + 1) / (3 * 8 * nc + 8))) * (8 + 2 * nc + nc * (8 - 2)) - 8
-get_marine_nlin(; n::Integer = default_nvar, nc::Int = 1, kwargs...) = 8 * (Int(round((n - 2 * 8 + 1) / (3 * 8 * 1 + 8))) - 1) # (nh - 1) * ne
+get_marine_nlin(; n::Integer = default_nvar, nc::Int = 1, kwargs...) =
+  8 * (Int(round((n - 2 * 8 + 1) / (3 * 8 * 1 + 8))) - 1) # (nh - 1) * ne
 get_marine_nnln(; n::Integer = default_nvar, nc::Int = 1, kwargs...) =
   Int(round((n - 2 * 8 + 1) / (3 * 8 * nc + 8))) * (2 * nc + nc * (8 - 2))
 get_marine_nequ(; n::Integer = default_nvar, nc::Int = 1, kwargs...) =
diff --git a/src/PureJuMP/argauss.jl b/src/PureJuMP/argauss.jl
index 2223f88d..8db68534 100644
--- a/src/PureJuMP/argauss.jl
+++ b/src/PureJuMP/argauss.jl
@@ -49,11 +49,7 @@ function argauss(; n::Int = default_nvar, kwargs...)
   @variable(nlp, -Inf <= x[i = 1:3] <= Inf, start = xinit[i])
 
   @objective(nlp, Min, 0)
-  @constraint(
-    nlp,
-    cons[i = 1:15],
-    x[1] * exp(-0.5 * x[2] * (0.5 * (8 - i) - x[3])^2) - rhs[i] == 0
-  )
+  @constraint(nlp, cons[i = 1:15], x[1] * exp(-0.5 * x[2] * (0.5 * (8 - i) - x[3])^2) - rhs[i] == 0)
 
   return nlp
 end
diff --git a/src/PureJuMP/arglinc.jl b/src/PureJuMP/arglinc.jl
index a7436f0a..4bdee4b9 100644
--- a/src/PureJuMP/arglinc.jl
+++ b/src/PureJuMP/arglinc.jl
@@ -20,11 +20,7 @@ function arglinc(args...; n::Int = default_nvar, m::Int = 2n, kwargs...)
 
   @variable(nlp, x[j = 1:n], start = 1.0)
 
-  @objective(
-    nlp,
-    Min,
-    2 + sum(((i - 1) * sum(j * x[j] for j = 2:(n - 1)) - 1)^2 for i = 2:(m - 1))
-  )
+  @objective(nlp, Min, 2 + sum(((i - 1) * sum(j * x[j] for j = 2:(n - 1)) - 1)^2 for i = 2:(m - 1)))
 
   return nlp
 end
diff --git a/src/PureJuMP/brownbs.jl b/src/PureJuMP/brownbs.jl
index 6eca4d17..9b726858 100644
--- a/src/PureJuMP/brownbs.jl
+++ b/src/PureJuMP/brownbs.jl
@@ -18,11 +18,7 @@ function brownbs(args...; kwargs...)
 
   @variable(nlp, x[i = 1:2], start = 1.0)
 
-  @objective(
-    nlp,
-    Min,
-    0.5 * (x[1] - 1e6)^2 + 0.5 * (x[2] - 2 * 1e-6)^2 + 0.5 * (x[1] * x[2] - 2)^2
-  )
+  @objective(nlp, Min, 0.5 * (x[1] - 1e6)^2 + 0.5 * (x[2] - 2 * 1e-6)^2 + 0.5 * (x[1] * x[2] - 2)^2)
 
   return nlp
 end
diff --git a/src/PureJuMP/hs104.jl b/src/PureJuMP/hs104.jl
index 2e1cfc97..98bd7a5a 100644
--- a/src/PureJuMP/hs104.jl
+++ b/src/PureJuMP/hs104.jl
@@ -23,14 +23,8 @@ function hs104(args...; kwargs...)
 
   @constraint(nlp, 1 - 0.0588 * x[5] * x[7] - 0.1 * x[1] ≥ 0)
   @constraint(nlp, 1 - 0.0588 * x[6] * x[8] - 0.1 * x[1] - 0.1 * x[2] ≥ 0)
-  @constraint(
-    nlp,
-    1 - 4 * x[3] / x[5] - 2 * x[3]^(-0.71) / x[5] - 0.0588 * x[3]^(-1.3) * x[7] ≥ 0
-  )
-  @constraint(
-    nlp,
-    1 - 4 * x[4] / x[6] - 2 * x[4]^(-0.71) / x[6] - 0.0588 * x[4]^(-1.3) * x[8] ≥ 0
-  )
+  @constraint(nlp, 1 - 4 * x[3] / x[5] - 2 * x[3]^(-0.71) / x[5] - 0.0588 * x[3]^(-1.3) * x[7] ≥ 0)
+  @constraint(nlp, 1 - 4 * x[4] / x[6] - 2 * x[4]^(-0.71) / x[6] - 0.0588 * x[4]^(-1.3) * x[8] ≥ 0)
   @constraint(nlp, 1 ≤ f ≤ 4.2)
 
   @objective(nlp, Min, f)
diff --git a/src/PureJuMP/hs77.jl b/src/PureJuMP/hs77.jl
index 79f733d2..9bb36374 100644
--- a/src/PureJuMP/hs77.jl
+++ b/src/PureJuMP/hs77.jl
@@ -21,11 +21,7 @@ function hs77(args...; kwargs...)
   @constraint(nlp, x[1]^2 * x[4] + sin(x[4] - x[5]) - 2 * sqrt(2) == 0)
   @constraint(nlp, x[2] + x[3]^4 * x[4]^2 - 8 - sqrt(2) == 0)
 
-  @objective(
-    nlp,
-    Min,
-    (x[1] - 1)^2 + (x[1] - x[2])^2 + (x[3] - 1)^2 + (x[4] - 1)^4 + (x[5] - 1)^6
-  )
+  @objective(nlp, Min, (x[1] - 1)^2 + (x[1] - x[2])^2 + (x[3] - 1)^2 + (x[4] - 1)^4 + (x[5] - 1)^6)
 
   return nlp
 end
diff --git a/src/PureJuMP/hs83.jl b/src/PureJuMP/hs83.jl
index 2add7ce1..94216608 100644
--- a/src/PureJuMP/hs83.jl
+++ b/src/PureJuMP/hs83.jl
@@ -35,11 +35,7 @@ function hs83(args...; kwargs...)
     0 ≤ a[9] + a[10] * x[3] * x[5] + a[11] * x[1] * x[3] - a[12] * x[3] * x[4] - 20 ≤ 5
   )
 
-  @objective(
-    nlp,
-    Min,
-    5.3578547 * x[3]^2 + 0.8356891 * x[1] * x[5] + 37.293239 * x[1] - 40792.141
-  )
+  @objective(nlp, Min, 5.3578547 * x[3]^2 + 0.8356891 * x[1] * x[5] + 37.293239 * x[1] - 40792.141)
 
   return nlp
 end
diff --git a/src/PureJuMP/palmer1c.jl b/src/PureJuMP/palmer1c.jl
index 02860c2e..30c39953 100644
--- a/src/PureJuMP/palmer1c.jl
+++ b/src/PureJuMP/palmer1c.jl
@@ -94,11 +94,7 @@ function palmer1c(args...; kwargs...)
     92.733676,
   ]
 
-  @objective(
-    nlp,
-    Min,
-    0.5 * sum((Y[i] - sum(x[j] * X[i]^(2 * j - 2) for j = 1:8))^2 for i = 1:35)
-  )
+  @objective(nlp, Min, 0.5 * sum((Y[i] - sum(x[j] * X[i]^(2 * j - 2) for j = 1:8))^2 for i = 1:35))
 
   return nlp
 end
diff --git a/src/PureJuMP/palmer1d.jl b/src/PureJuMP/palmer1d.jl
index 3ec56c13..fca48609 100644
--- a/src/PureJuMP/palmer1d.jl
+++ b/src/PureJuMP/palmer1d.jl
@@ -94,11 +94,7 @@ function palmer1d(args...; kwargs...)
     92.733676,
   ]
 
-  @objective(
-    nlp,
-    Min,
-    0.5 * sum((Y[i] - sum(x[j] * X[i]^(2 * j - 2) for j = 1:7))^2 for i = 1:35)
-  )
+  @objective(nlp, Min, 0.5 * sum((Y[i] - sum(x[j] * X[i]^(2 * j - 2) for j = 1:7))^2 for i = 1:35))
 
   return nlp
 end
diff --git a/src/PureJuMP/palmer2c.jl b/src/PureJuMP/palmer2c.jl
index 2f89b08d..22f2b659 100644
--- a/src/PureJuMP/palmer2c.jl
+++ b/src/PureJuMP/palmer2c.jl
@@ -70,11 +70,7 @@ function palmer2c(args...; kwargs...)
     72.676767,
   ]
 
-  @objective(
-    nlp,
-    Min,
-    0.5 * sum((Y[i] - sum(x[j] * X[i]^(2 * j - 2) for j = 1:8))^2 for i = 1:23)
-  )
+  @objective(nlp, Min, 0.5 * sum((Y[i] - sum(x[j] * X[i]^(2 * j - 2) for j = 1:8))^2 for i = 1:23))
 
   return nlp
 end
diff --git a/src/PureJuMP/palmer3c.jl b/src/PureJuMP/palmer3c.jl
index 785fedf4..20889010 100644
--- a/src/PureJuMP/palmer3c.jl
+++ b/src/PureJuMP/palmer3c.jl
@@ -70,11 +70,7 @@ function palmer3c(args...; kwargs...)
     64.87939,
   ]
 
-  @objective(
-    nlp,
-    Min,
-    0.5 * sum((Y[i] - sum(x[j] * X[i]^(2 * j - 2) for j = 1:8))^2 for i = 1:23)
-  )
+  @objective(nlp, Min, 0.5 * sum((Y[i] - sum(x[j] * X[i]^(2 * j - 2) for j = 1:8))^2 for i = 1:23))
 
   return nlp
 end
diff --git a/src/PureJuMP/palmer4c.jl b/src/PureJuMP/palmer4c.jl
index 06e44811..78172a4f 100644
--- a/src/PureJuMP/palmer4c.jl
+++ b/src/PureJuMP/palmer4c.jl
@@ -70,11 +70,7 @@ function palmer4c(args...; kwargs...)
     67.27625,
   ]
 
-  @objective(
-    nlp,
-    Min,
-    0.5 * sum((Y[i] - sum(x[j] * X[i]^(2 * j - 2) for j = 1:8))^2 for i = 1:23)
-  )
+  @objective(nlp, Min, 0.5 * sum((Y[i] - sum(x[j] * X[i]^(2 * j - 2) for j = 1:8))^2 for i = 1:23))
 
   return nlp
 end
diff --git a/src/PureJuMP/palmer5d.jl b/src/PureJuMP/palmer5d.jl
index 8cd3896b..f4674554 100644
--- a/src/PureJuMP/palmer5d.jl
+++ b/src/PureJuMP/palmer5d.jl
@@ -47,11 +47,7 @@ function palmer5d(args...; kwargs...)
     77.719674,
   ]
 
-  @objective(
-    nlp,
-    Min,
-    0.5 * sum((Y[i] - sum(x[j] * X[i]^(2 * j - 2) for j = 1:4))^2 for i = 1:12)
-  )
+  @objective(nlp, Min, 0.5 * sum((Y[i] - sum(x[j] * X[i]^(2 * j - 2) for j = 1:4))^2 for i = 1:12))
 
   return nlp
 end
diff --git a/src/PureJuMP/palmer6c.jl b/src/PureJuMP/palmer6c.jl
index bc38e0e5..ea677ceb 100644
--- a/src/PureJuMP/palmer6c.jl
+++ b/src/PureJuMP/palmer6c.jl
@@ -50,11 +50,7 @@ function palmer6c(args...; kwargs...)
     9.026378,
   ]
 
-  @objective(
-    nlp,
-    Min,
-    0.5 * sum((Y[i] - sum(x[j] * X[i]^(2 * j - 2) for j = 1:8))^2 for i = 1:13)
-  )
+  @objective(nlp, Min, 0.5 * sum((Y[i] - sum(x[j] * X[i]^(2 * j - 2) for j = 1:8))^2 for i = 1:13))
 
   return nlp
 end
diff --git a/src/PureJuMP/palmer7c.jl b/src/PureJuMP/palmer7c.jl
index f8b48aec..2151e01d 100644
--- a/src/PureJuMP/palmer7c.jl
+++ b/src/PureJuMP/palmer7c.jl
@@ -50,11 +50,7 @@ function palmer7c(args...; kwargs...)
     117.630959,
   ]
 
-  @objective(
-    nlp,
-    Min,
-    0.5 * sum((Y[i] - sum(x[j] * X[i]^(2 * j - 2) for j = 1:8))^2 for i = 1:13)
-  )
+  @objective(nlp, Min, 0.5 * sum((Y[i] - sum(x[j] * X[i]^(2 * j - 2) for j = 1:8))^2 for i = 1:13))
 
   return nlp
 end
diff --git a/src/PureJuMP/palmer8c.jl b/src/PureJuMP/palmer8c.jl
index ab12100c..c905b524 100644
--- a/src/PureJuMP/palmer8c.jl
+++ b/src/PureJuMP/palmer8c.jl
@@ -48,11 +48,7 @@ function palmer8c(args...; kwargs...)
     97.874528,
   ]
 
-  @objective(
-    nlp,
-    Min,
-    0.5 * sum((Y[i] - sum(x[j] * X[i]^(2 * j - 2) for j = 1:8))^2 for i = 1:12)
-  )
+  @objective(nlp, Min, 0.5 * sum((Y[i] - sum(x[j] * X[i]^(2 * j - 2) for j = 1:8))^2 for i = 1:12))
 
   return nlp
 end
diff --git a/src/PureJuMP/rat42.jl b/src/PureJuMP/rat42.jl
index 822a25b3..afd6cbf6 100644
--- a/src/PureJuMP/rat42.jl
+++ b/src/PureJuMP/rat42.jl
@@ -54,11 +54,7 @@ function rat42(args...; kwargs...)
   @variable(nlp, x[j = 1:3])
   set_start_value.(x, [100, 1, 0.1]) # other: [75, 2.5, 0.07]
 
-  @objective(
-    nlp,
-    Min,
-    0.5 * sum((y[i, 1] - x[1] / (1 + exp(x[2] - x[3] * y[i, 2])))^2 for i = 1:9)
-  )
+  @objective(nlp, Min, 0.5 * sum((y[i, 1] - x[1] / (1 + exp(x[2] - x[3] * y[i, 2])))^2 for i = 1:9))
 
   return nlp
 end
diff --git a/src/PureJuMP/tquartic.jl b/src/PureJuMP/tquartic.jl
index d2acf2dd..cfe94a58 100644
--- a/src/PureJuMP/tquartic.jl
+++ b/src/PureJuMP/tquartic.jl
@@ -27,11 +27,7 @@ function tquartic(args...; n::Int = default_nvar, kwargs...)
 
   @variable(nlp, x[i = 1:n], start = 0.1)
 
-  @objective(
-    nlp,
-    Min,
-    0.5 * (x[1] - 1.0)^2 + 0.5 * sum((x[1]^2 - x[i + 1]^2)^2 for i = 1:(n - 2))
-  )
+  @objective(nlp, Min, 0.5 * (x[1] - 1.0)^2 + 0.5 * sum((x[1]^2 - x[i + 1]^2)^2 for i = 1:(n - 2)))
 
   return nlp
 end