def _find_master(self):
mgr = Workspace()
master = []
for item in list(mgr.keys()):
if mgr[item].models is not None:
for model in list(mgr[item].models.keys()):
if mgr[item].models[model] is self:
master.append(mgr[item])
if len(master) > 1:
raise Exception('More than one master found! This model dictionary '
'has been associated with multiple objects. To use '
'the same dictionary multiple times use the copy'
'method.')
return master[0]
# -*- coding: utf-8 -*-
"""
===============================================================================
GenericNetwork: Abstract class to construct pore networks
===============================================================================
"""
import itertools
import scipy as sp
import scipy.sparse as sprs
import scipy.spatial as sptl
import OpenPNM.Utilities.misc as misc
from OpenPNM.Utilities import topology
from OpenPNM.Base import Core, Workspace, Tools, logging
logger = logging.getLogger(__name__)
mgr = Workspace()
topo = topology()
class GenericNetwork(Core):
r"""
GenericNetwork - Base class to construct pore networks
Parameters
----------
name : string
Unique name for Network object
"""
def __init__(self, **kwargs):
super().__init__(**kwargs)