def submitNoiseSweep(p,
gEp,
gIp,
noisep,
ENV,
simRootDir,
simLabel,
appName,
rtLimit,
numCPU,
blocking,
timePrefix,
numRepeat,
dry_run,
extraIterparams={}):
'''
Submit a parameter sweep with an extra dimension: noise_sigma.
'''
noise_sigma_arr = []
g_AMPA_total_arr = []
g_GABA_total_arr = []
for n in noisep.values():
for E_coupling in gEp.values():
for I_coupling in gIp.values():
noise_sigma_arr.append(n)
g_AMPA_total_arr.append(E_coupling)
g_GABA_total_arr.append(I_coupling)
iterparams = {
'noise_sigma': np.array(noise_sigma_arr),
'g_AMPA_total': np.array(g_AMPA_total_arr),
'g_GABA_total': np.array(g_GABA_total_arr),
#'noise_sigma' : [150],
#'g_AMPA_total' : [1020],
#'g_GABA_total' : [3060]
}
iterparams.update(extraIterparams)
ac = ArgumentCreator(p, printout=True)
ac.insertDict(iterparams, mult=False)
###############################################################################
submitter = SubmitterFactory.getSubmitter(ac,
appName,
envType=ENV,
rtLimit=rtLimit,
output_dir=simRootDir,
label=simLabel,
blocking=blocking,
timePrefix=timePrefix,
numCPU=numCPU)
ac.setOption('output_dir', submitter.outputDir())
startJobNum = 0
submitter.submitAll(startJobNum, numRepeat, dry_run=dry_run)
submitter.saveIterParams(iterparams, dry_run=dry_run)
ENV = 'workstation'
simRootDir = 'output_local'
simLabel = 'test spaces'
parameters = {}
startJobNum = 10
numRepeat = 1
# Submitting
ac = ArgumentCreator(parameters)
appName = 'dummy_script.py'
rtLimit = '00:05:00'
blocking = True
timePrefix = False
submitter = SubmitterFactory.getSubmitter(ac, appName, envType=ENV,
rtLimit=rtLimit, output_dir=simRootDir, label=simLabel,
blocking=blocking, timePrefix=timePrefix);
ac.setOption('output_dir', submitter.outputDir())
iterparams = {
'output_data' : np.arange(10)
}
ac.insertDict(iterparams, mult=False)
rowN = shape[0]
colN = shape[1]
p['where'] = o.where
p['ns'] = int(noise_sigma)
p['what'] = o.what
p['type'] = o.type
p['targetType'] = o.targetType
p['verbosity'] = o.verbosity
if o.repack:
p['repack'] = ''
###############################################################################
ac = ArgumentCreator(p, printout=True, emitJobNum=False)
iterparams = {
'row' : np.arange(rowN),
'col' : np.arange(colN)
#'row' : [5],
#'col' : [15]
}
ac.insertDict(iterparams, mult=True)
###############################################################################
submitter = SubmitterFactory.getSubmitter(ac, appName, envType=ENV,
rtLimit=rtLimit, output_dir=simRootDir, label=simLabel,
blocking=blocking, timePrefix=timePrefix, numCPU=numCPU)
startJobNum = 0
submitter.submitAll(startJobNum, numRepeat, dry_run=dry_run)
noise_sigma_all = [0.0, 150.0, 300.0] # pA
dirs = ('{0}pA' , (31, 31))
for noise_sigma in noise_sigma_all:
p = {}
simLabel = dirs[0].format(int(noise_sigma))
rowN = dirs[1][0]
colN = dirs[1][1]
p['shapeRows'] = rowN
p['shapeCols'] = colN
###############################################################################
ac = ArgumentCreator(p, printout=True)
iterparams = {
'row' : np.arange(rowN),
'col' : np.arange(colN)
#'row' : np.arange(1),
#'col' : np.arange(1)
}
ac.insertDict(iterparams, mult=True)
###############################################################################
submitter = SubmitterFactory.getSubmitter(ac, appName, envType=ENV,
rtLimit=rtLimit, output_dir=simRootDir, label=simLabel,
blocking=blocking, timePrefix=timePrefix, numCPU=numCPU)
ac.setOption('output_dir', submitter.outputDir())
startJobNum = 0
#
import numpy as np
from submitting.factory import SubmitterFactory
from submitting.arguments import ArgumentCreator
ENV = 'workstation'
simRootDir = 'output_local'
simLabel = 'test spaces'
parameters = {}
startJobNum = 10
numRepeat = 1
# Submitting
ac = ArgumentCreator(parameters)
appName = 'dummy_script.py'
rtLimit = '00:05:00'
blocking = True
timePrefix = False
submitter = SubmitterFactory.getSubmitter(ac,
appName,
envType=ENV,
rtLimit=rtLimit,
output_dir=simRootDir,
label=simLabel,
blocking=blocking,
timePrefix=timePrefix)
ac.setOption('output_dir', submitter.outputDir())
iterparams = {'output_data': np.arange(10)}
