CVXPY
Maximize
  Sum(X * [[2.00 1.00]
 [-2.00 -4.00]], None, False)
Subject To
 14: norm1(X) <= 6.0
Bounds
 X free
End
----------------------------------------
AFTER COMPILATION
OBJECTIVE
  Sense            : minimize
VARIABLES
  [continuous] <x_0>: obj=-2, original bounds=[-inf,+inf]
  [continuous] <x_1>: obj=2, original bounds=[-inf,+inf]
  [continuous] <x_2>: obj=-1, original bounds=[-inf,+inf]
  [continuous] <x_3>: obj=4, original bounds=[-inf,+inf]
  [continuous] <x_4>: obj=0, original bounds=[-inf,+inf]
  [continuous] <x_5>: obj=0, original bounds=[-inf,+inf]
  [continuous] <x_6>: obj=0, original bounds=[-inf,+inf]
  [continuous] <x_7>: obj=0, original bounds=[-inf,+inf]
CONSTRAINTS
  [linear] <c1>: <x_0>[C] -<x_4>[C] <= 0;
  [linear] <c2>: <x_1>[C] -<x_5>[C] <= 0;
  [linear] <c3>: <x_2>[C] -<x_6>[C] <= 0;
  [linear] <c4>: <x_3>[C] -<x_7>[C] <= 0;
  [linear] <c5>:  -<x_0>[C] -<x_4>[C] <= 0;
  [linear] <c6>:  -<x_1>[C] -<x_5>[C] <= 0;
  [linear] <c7>:  -<x_2>[C] -<x_6>[C] <= 0;
  [linear] <c8>:  -<x_3>[C] -<x_7>[C] <= 0;
  [linear] <c9>: <x_4>[C] +<x_5>[C] +<x_6>[C] +<x_7>[C] <= 6;
END
----------------------------------------
SCIP
OBJECTIVE
  Sense            : maximize
VARIABLES
  [continuous] <X_0_0>: obj=2, original bounds=[-inf,+inf]
  [continuous] <X_0_1>: obj=1, original bounds=[-inf,+inf]
  [continuous] <X_1_0>: obj=-2, original bounds=[-inf,+inf]
  [continuous] <X_1_1>: obj=-4, original bounds=[-inf,+inf]
CONSTRAINTS
  [nonlinear] <14>: abs((<X_0_0>))+abs((<X_0_1>))+abs((<X_1_0>))+abs((<X_1_1>)) <= 6;
END