# ____________________________________________________________________________________
#
# Pyomo: Python Optimization Modeling Objects
# Copyright (c) 2008-2026 National Technology and Engineering Solutions of Sandia, LLC
# Under the terms of Contract DE-NA0003525 with National Technology and Engineering
# Solutions of Sandia, LLC, the U.S. Government retains certain rights in this
# software. This software is distributed under the 3-clause BSD License.
# ____________________________________________________________________________________
from .dependencies import random
# [Aug 24] Importing for backwards compatibility; may deprecate this import later
from .flags import FlagType, NOTSET
# Backward compatibility with the previous name for this flag
NoArgumentGiven = NOTSET
[docs]
def randint(a, b):
"""Our implementation of random.randint.
The Python random.randint is not consistent between python versions
and produces a series that is different in 3.x than 2.x. So that we
can support deterministic testing (i.e., setting the random.seed and
expecting the same sequence), we will implement a simple, but stable
version of randint()."""
return int((b - a + 1) * random.random())
[docs]
def unique_component_name(instance, name):
# test if this name already exists in model. If not, we're good.
# Else, we add random numbers until it doesn't
if instance.component(name) is None and not hasattr(instance, name):
return name
name += '_%d' % (randint(0, 9),)
while True:
if instance.component(name) is None and not hasattr(instance, name):
return name
else:
name += str(randint(0, 9))