def stationarizeNetwork(self):
#/###################/#
# Determine the weights
#
#debug
'''
self.debug(
[
'We stationarize network here',
]
)
'''
#import
import numpy as np
#Check
if type(self.StationarizingMeanWeightVariable) != None.__class__:
#alias
self.StationarizedMeanWeightFloatsList=np.array(
self.StationarizingMeanWeightVariable
)
#set
self.StationarizingUnitsInt=len(self.StationarizedMeanWeightFloatsList)
#/###################/#
# Determine the structures
#
#map
map(
lambda __TagStr:
SYS.setInitList(
self,'Stationarize',__TagStr
),
[
'ConstantTime',
'Threshold',
'Reset',
'Rate',
'ExternalCurrentMean',
'ExternalCurrentNoise',
'MeanWeight',
'NoiseWeight'
]
)
#debug
'''
self.debug(
[
"Now ",
('self.',self,[
"DoUnitsInt",
"StationarizedThresholdFloatsList",
"StationarizedResetFloatsList",
"StationarizedMeanWeightFloatsList",
"StationarizedExternalCurrentMeanFloatsList"
])
]
)
'''
#Check
self.StationarizingUnitsInt=max(self.StationarizingUnitsInt,self.DoUnitsInt)
#/###################/#
# Determine the name
#
#Check
if self.StationarizingPopulationTagVariable == None:
#set
self.StationarizedPopulationTagStrsList=map(
str,range(self.StationarizingUnitsInt)
)
else:
#set
self.StationarizedPopulationTagStrsList=self.StationarizingPopulationTagVariable
#set
self.StationarizedMeanWeightFloatsArray = np.array(
self.StationarizingMeanWeightVariable
)
#/###################/#
# Check for Populations
#
#get
StationarizedPopulationsDeriveTeamer=self.getTeamer(
"Populations"
)
#map
map(
lambda __StationarizedPopulationTagStr:
StationarizedPopulationsDeriveTeamer.getManager(
str(__StationarizedPopulationTagStr)
),
self.StationarizedPopulationTagStrsList,
)
