From 6ace1be9853bbd2e77ca55ab56bbfced69756409 Mon Sep 17 00:00:00 2001
From: Alessandro Berti <alessandro.berti@fit.fraunhofer.de>
Date: Thu, 7 Nov 2024 07:47:21 +0100
Subject: [PATCH] removed deprecated code

---
 pm4py/util/lp/solver.py                       |   9 +-
 .../cvxopt_solver_custom_align_arm.py         | 111 ------------------
 2 files changed, 1 insertion(+), 119 deletions(-)
 delete mode 100644 pm4py/util/lp/variants/cvxopt_solver_custom_align_arm.py

diff --git a/pm4py/util/lp/solver.py b/pm4py/util/lp/solver.py
index 4de177cdc..c1a8bb495 100644
--- a/pm4py/util/lp/solver.py
+++ b/pm4py/util/lp/solver.py
@@ -60,16 +60,9 @@ class Parameters(Enum):
     DEFAULT_LP_SOLVER_VARIANT = SCIPY
 
 if importlib.util.find_spec("cvxopt"):
-    from pm4py.util.lp.variants import cvxopt_solver, cvxopt_solver_custom_align, cvxopt_solver_custom_align_ilp, \
-        cvxopt_solver_custom_align_arm
+    from pm4py.util.lp.variants import cvxopt_solver, cvxopt_solver_custom_align, cvxopt_solver_custom_align_ilp
 
     custom_solver = cvxopt_solver_custom_align
-    try:
-        # for ARM-based Linux, we need to use a different call to GLPK
-        if "arm" in str(os.uname()[-1]):
-            custom_solver = cvxopt_solver
-    except:
-        pass
 
     CVXOPT = "cvxopt"
     CVXOPT_SOLVER_CUSTOM_ALIGN = "cvxopt_solver_custom_align"
diff --git a/pm4py/util/lp/variants/cvxopt_solver_custom_align_arm.py b/pm4py/util/lp/variants/cvxopt_solver_custom_align_arm.py
deleted file mode 100644
index e86b3657a..000000000
--- a/pm4py/util/lp/variants/cvxopt_solver_custom_align_arm.py
+++ /dev/null
@@ -1,111 +0,0 @@
-'''
-    This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).
-
-    PM4Py is free software: you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation, either version 3 of the License, or
-    (at your option) any later version.
-
-    PM4Py is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License
-    along with PM4Py.  If not, see <https://www.gnu.org/licenses/>.
-'''
-import sys
-
-from cvxopt import blas
-from cvxopt import glpk
-
-
-def custom_solve_lp(c, G, h, A, b):
-    status, x, z, y = glpk.lp(c, G, h, A, b)
-
-    if status == 'optimal':
-        pcost = blas.dot(c, x)
-    else:
-        pcost = None
-
-    return {'status': status, 'x': x, 'primal objective': pcost}
-
-
-def apply(c, Aub, bub, Aeq, beq, parameters=None):
-    """
-    Gets the overall solution of the problem
-
-    Parameters
-    ------------
-    c
-        c parameter of the algorithm
-    Aub
-        A_ub parameter of the algorithm
-    bub
-        b_ub parameter of the algorithm
-    Aeq
-        A_eq parameter of the algorithm
-    beq
-        b_eq parameter of the algorithm
-    parameters
-        Possible parameters of the algorithm
-
-    Returns
-    -------------
-    sol
-        Solution of the LP problem by the given algorithm
-    """
-    sol = custom_solve_lp(c, Aub, bub, Aeq, beq)
-
-    return sol
-
-
-def get_prim_obj_from_sol(sol, parameters=None):
-    """
-    Gets the primal objective from the solution of the LP problem
-
-    Parameters
-    -------------
-    sol
-        Solution of the ILP problem by the given algorithm
-    parameters
-        Possible parameters of the algorithm
-
-    Returns
-    -------------
-    prim_obj
-        Primal objective
-    """
-    return sol["primal objective"]
-
-
-def get_points_from_sol(sol, parameters=None):
-    """
-    Gets the points from the solution
-
-    Parameters
-    -------------
-    sol
-        Solution of the LP problem by the given algorithm
-    parameters
-        Possible parameters of the algorithm
-
-    Returns
-    -------------
-    points
-        Point of the solution
-    """
-    if parameters is None:
-        parameters = {}
-
-    maximize = parameters["maximize"] if "maximize" in parameters else False
-    return_when_none = parameters["return_when_none"] if "return_when_none" in parameters else False
-    var_corr = parameters["var_corr"] if "var_corr" in parameters else {}
-
-    if sol and 'x' in sol and sol['x'] is not None:
-        return list(sol['x'])
-    else:
-        if return_when_none:
-            if maximize:
-                return [sys.float_info.max] * len(list(var_corr.keys()))
-            return [sys.float_info.min] * len(list(var_corr.keys()))