From 64c9be3518174957ec6b97dc26c89079c9e03f9e Mon Sep 17 00:00:00 2001
From: mostaf7583 <73074293+mostaf7583@users.noreply.github.com>
Date: Wed, 24 Apr 2024 13:59:03 +0200
Subject: [PATCH] upgrade the libraryies and found alternatives

---
 differential_evolution.py | 17 ++++++++++++++---
 1 file changed, 14 insertions(+), 3 deletions(-)

diff --git a/differential_evolution.py b/differential_evolution.py
index 0da50544c..cde357be5 100644
--- a/differential_evolution.py
+++ b/differential_evolution.py
@@ -13,13 +13,24 @@
 from __future__ import division, print_function, absolute_import
 import numpy as np
 from scipy.optimize import OptimizeResult, minimize
-from scipy.optimize.optimize import _status_message
+# from scipy.optimize.optimize import _status_message
 from scipy._lib._util import check_random_state
-from scipy._lib.six import xrange, string_types
+from  six import  string_types
 import warnings
 
+from builtins import range
 
 __all__ = ['differential_evolution']
+_status_message = {'success': 'Optimization terminated successfully.',
+                   'maxfev': 'Maximum number of function evaluations has '
+                              'been exceeded.',
+                   'maxiter': 'Maximum number of iterations has been '
+                              'exceeded.',
+                   'pr_loss': 'Desired error not necessarily achieved due '
+                              'to precision loss.',
+                   'nan': 'NaN result encountered.',
+                   'out_of_bounds': 'The result is outside of the provided '
+                                    'bounds.'}
 
 _MACHEPS = np.finfo(np.float64).eps
 
@@ -563,7 +574,7 @@ def solve(self):
             self._calculate_population_energies()
 
         # do the optimisation.
-        for nit in xrange(1, self.maxiter + 1):
+        for nit in range(1, self.maxiter + 1):
             # evolve the population by a generation
             try:
                 next(self)