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upgrade the libraryies and found alternatives #32

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upgrade the libraryies and found alternatives #32

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17 changes: 14 additions & 3 deletions differential_evolution.py
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Original file line number Diff line number Diff line change
Expand Up @@ -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

Expand Down Expand Up @@ -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)
Expand Down