from cvxpy.reductions.solvers.conic_solvers.nag_conif \
import NAG as NAG_con
from cvxpy.reductions.solvers.conic_solvers.scip_conif \
import SCIP as SCIP_con
from cvxpy.reductions.solvers.conic_solvers.scipy_conif \
import SCIPY as SCIPY_con
# QP interfaces
from cvxpy.reductions.solvers.qp_solvers.osqp_qpif import OSQP as OSQP_qp
from cvxpy.reductions.solvers.qp_solvers.gurobi_qpif import GUROBI as GUROBI_qp
from cvxpy.reductions.solvers.qp_solvers.cplex_qpif import CPLEX as CPLEX_qp
from cvxpy.reductions.solvers.qp_solvers.xpress_qpif import XPRESS as XPRESS_qp
solver_conic_intf = [DIFFCP_con(), ECOS_con(),
CVXOPT_con(), GLPK_con(),
GLPK_MI_con(), CBC_con(), SCS_con(),
GUROBI_con(), MOSEK_con(), CPLEX_con(), NAG_con(), XPRESS_con(),
SCIP_con(), SCIPY_con(), ECOS_BB_con()]
solver_qp_intf = [OSQP_qp(),
GUROBI_qp(),
CPLEX_qp(),
XPRESS_qp()
]
SOLVER_MAP_CONIC = {solver.name(): solver for solver in solver_conic_intf}
SOLVER_MAP_QP = {solver.name(): solver for solver in solver_qp_intf}
# CONIC_SOLVERS and QP_SOLVERS are sorted in order of decreasing solver
# preference. QP_SOLVERS are those for which we have written interfaces
# and are supported by QpSolver.
CONIC_SOLVERS = [s.MOSEK, s.ECOS, s.SCS,
from cvxpy.reductions.solvers.conic_solvers.xpress_conif import (
XPRESS as XPRESS_con, )
from cvxpy.reductions.solvers.qp_solvers.cplex_qpif import CPLEX as CPLEX_qp
from cvxpy.reductions.solvers.qp_solvers.gurobi_qpif import GUROBI as GUROBI_qp
# QP interfaces
from cvxpy.reductions.solvers.qp_solvers.osqp_qpif import OSQP as OSQP_qp
from cvxpy.reductions.solvers.qp_solvers.xpress_qpif import XPRESS as XPRESS_qp
solver_conic_intf = [
DIFFCP_con(),
ECOS_con(),
CVXOPT_con(),
GLPK_con(),
GLPK_MI_con(),
CBC_con(),
SCS_con(),
GUROBI_con(),
MOSEK_con(),
CPLEX_con(),
NAG_con(),
XPRESS_con(),
SCIP_con(),
SCIPY_con(),
ECOS_BB_con()
]
solver_qp_intf = [OSQP_qp(), GUROBI_qp(), CPLEX_qp(), XPRESS_qp()]
SOLVER_MAP_CONIC = {solver.name(): solver for solver in solver_conic_intf}
SOLVER_MAP_QP = {solver.name(): solver for solver in solver_qp_intf}
# CONIC_SOLVERS and QP_SOLVERS are sorted in order of decreasing solver
import XPRESS as XPRESS
from cvxpy.reductions.solvers.conic_solvers.elemental_conif \
import Elemental as Elemental_con
from cvxpy.reductions.solvers.conic_solvers.mosek_conif \
import MOSEK as MOSEK_con
from cvxpy.reductions.solvers.conic_solvers.cplex_conif \
import CPLEX as CPLEX_con
# QP interfaces
from cvxpy.reductions.solvers.qp_solvers.osqp_qpif import OSQP as OSQP_qp
from cvxpy.reductions.solvers.qp_solvers.gurobi_qpif import GUROBI as GUROBI_qp
from cvxpy.reductions.solvers.qp_solvers.cplex_qpif import CPLEX as CPLEX_qp
solver_conic_intf = [ECOS_con(), ECOS_BB_con(),
CVXOPT_con(), GLPK_con(), XPRESS(),
GLPK_MI_con(), CBC_con(), SCS_con(), SuperSCS_con(), GUROBI_con(),
Elemental_con(), MOSEK_con(), CPLEX_con()]
solver_qp_intf = [OSQP_qp(),
GUROBI_qp(),
CPLEX_qp()
]
SOLVER_MAP_CONIC = {solver.name(): solver for solver in solver_conic_intf}
SOLVER_MAP_QP = {solver.name(): solver for solver in solver_qp_intf}
# CONIC_SOLVERS and QP_SOLVERS are sorted in order of decreasing solver
# preference. QP_SOLVERS are those for which we have written interfaces
# and are supported by QpSolver.
CONIC_SOLVERS = [s.MOSEK, s.ECOS, s.ECOS_BB, s.SUPER_SCS, s.SCS,
s.GUROBI, s.GLPK, s.XPRESS,
s.GLPK_MI, s.CBC, s.ELEMENTAL, s.JULIA_OPT, s.CVXOPT,