CVXPY
Maximize
  Sum(X, None, False)
Subject To
 58: max(X, None, False) + max([[1.00 -2.00]
 [3.00 4.00]], None, False) <= 1.0
Bounds
 X free
End
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AFTER COMPILATION
OBJECTIVE
  Sense            : minimize
VARIABLES
  [continuous] <x_0>: obj=-1, original bounds=[-inf,+inf]
  [continuous] <x_1>: obj=-1, original bounds=[-inf,+inf]
  [continuous] <x_2>: obj=-1, original bounds=[-inf,+inf]
  [continuous] <x_3>: obj=-1, original bounds=[-inf,+inf]
  [continuous] <x_4>: obj=0, original bounds=[-inf,+inf]
CONSTRAINTS
  [linear] <c1>: <x_0>[C] -<x_4>[C] <= 0;
  [linear] <c2>: <x_1>[C] -<x_4>[C] <= 0;
  [linear] <c3>: <x_2>[C] -<x_4>[C] <= 0;
  [linear] <c4>: <x_3>[C] -<x_4>[C] <= 0;
  [linear] <c5>: <x_4>[C] <= -3;
END
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SCIP
OBJECTIVE
  Sense            : maximize
VARIABLES
  [continuous] <X_0_0>: obj=1, original bounds=[-inf,+inf]
  [continuous] <X_0_1>: obj=1, original bounds=[-inf,+inf]
  [continuous] <X_1_0>: obj=1, original bounds=[-inf,+inf]
  [continuous] <X_1_1>: obj=1, original bounds=[-inf,+inf]
  [continuous] <max_1>: obj=0, original bounds=[-inf,+inf]
CONSTRAINTS
  [linear] <max_1_0_0>: <X_0_0>[C] -<max_1>[C] <= 0;
  [linear] <max_1_0_1>: <X_0_1>[C] -<max_1>[C] <= 0;
  [linear] <max_1_1_0>: <X_1_0>[C] -<max_1>[C] <= 0;
  [linear] <max_1_1_1>: <X_1_1>[C] -<max_1>[C] <= 0;
  [linear] <58>: <max_1>[C] <= -3;
END