def master_auto_resubmit(self, rjobs):
'''Duplicate of the IBackend.master_resubmit but hooked into auto resubmission
such that the monitoring server is used rather than the user server'''
from Ganga.Core import IncompleteJobSubmissionError, GangaException
from Ganga.Utility.logging import log_user_exception
incomplete = 0
def handleError(x):
if incomplete:
raise x
else:
return 0
try:
for sj in rjobs:
fqid = sj.getFQID('.')
logger.info("resubmitting job %s to %s backend", fqid, getName(sj.backend))
try:
b = sj.backend
sj.updateStatus('submitting')
result = b._resubmit()
if result:
sj.updateStatus('submitted')
# sj._commit() # PENDING: TEMPORARY DISABLED
incomplete = 1
else:
return handleError(IncompleteJobSubmissionError(fqid, 'resubmission failed'))
except Exception as x:
log_user_exception(logger, debug=isType(x, GangaException))
return handleError(IncompleteJobSubmissionError(fqid, str(x)))
finally:
master = self.getJobObject().master
if master:
master.updateMasterJobStatus()
return 1
def runAutoMerge(job, new_status):
"""Method to run the merge command."""
result = False
#we only run on master jobs (which have no parent)
if job._getParent() != None:
return result
allowed_states = ['completed','failed','killed']
if not new_status in allowed_states:
return result
try:
if job.merger:
#we run if master is in a failed state if ignorefailed flag is set
if new_status == allowed_states[0] or job.merger.ignorefailed:
# leave the output directory to the implementation (fix for http://savannah.cern.ch/bugs/?76445)
sum_outputdir = None
if job.merger.set_outputdir_for_automerge:
sum_outputdir = job.outputdir
result = job.merger.merge(job.subjobs, sum_outputdir)
except Exception:
log_user_exception()
raise
return result
def log_error():
log.error('Problem in the monitoring loop: %s', str(x))
#if show_traceback:
# log.error("exception: ", exc_info=1)
# #log_unknown_exception()
# import traceback
# traceback.print_stack()
if show_traceback:
log_user_exception(log)
def submit(self,**opts):
"""Submission of a job.
Called by: ganga client. """
ret = {}
for monService in self.monMonServices:
try:
monClass = str(monService.__class__)
ret[monClass] = monService.submit(**opts)
except Exception,e:
#discard errors in initialization of monitoring services
self._log(level="warning",msg="%s monitoring service failed in job *submit*" % monClass)
from Ganga.Utility.logging import log_user_exception
log_user_exception(self.logger)
def submit(self, **opts):
"""Submission of a job.
Called by: ganga client. """
ret = {}
for monService in self.monMonServices:
try:
monClass = str(monService.__class__)
ret[monClass] = monService.submit(**opts)
except Exception as e:
# discard errors in initialization of monitoring services
self.logger.warning("%s monitoring service failed in job *submit*" % monClass)
from Ganga.Utility.logging import log_user_exception
log_user_exception(self.logger)
return ret
def __init__(self, monClasses, jobInfos, configInfos):
"""Create a new composite monitoring service based on the lists of
monitoring classes, jobs and configs (all the same length).
If this is called in the Ganga client, i.e. from Ganga/GPIDev/MonitoringServices,
then jobInfos is a list of Job (all the same), configInfos is a list of
Config (specific to each monitoring class).
If this is called on the worker node, i.e. from the text generated by
getWrapperScriptConstructorText(), the jobInfos are dictionaries (specific
to each monitoring class) and configInfos are dictionaries of effective
config options (specific to each monitoring class).
"""
if not (len(monClasses) == len(jobInfos) == len(configInfos)):
raise Exception(
"cannot create monitoring object, list of monitoring classes, jobs and configs are not the same length.")
IMonitoringService.__init__(self, jobInfos, configInfos)
# init the logger
try:
import Ganga.Utility.logging
self.logger = Ganga.Utility.logging.getLogger()
except ImportError:
# on the worker node we don't have access to Ganga logging facilities
# so we simple print out the log message
#@see self._log()
self.logger = None
# init the monitoring services
self.monMonServices = []
for i in range(len(monClasses)):
try:
monClass = monClasses[i]
# allow for existing monitoring classes which do not take
# config_info in constructor
if configInfos[i] is None:
monService = monClass(jobInfos[i])
else:
monService = monClass(jobInfos[i], configInfos[i])
self.monMonServices.append(monService)
except Exception as e:
# discard errors in initialization of monitoring services
self._log(
level="warning", msg="Failed to init %s monitoring service...discarding it" % str(monClass))
from Ganga.Utility.logging import log_user_exception
log_user_exception(self.logger)
def process(self, sj_info):
my_sc = sj_info[0]
my_sj = sj_info[1]
try:
logger.debug("preparing job %s" % my_sj.getFQID('.'))
jdlpath = my_sj.backend.preparejob(my_sc, master_input_sandbox)
if (not jdlpath) or (not os.path.exists(jdlpath)):
raise GangaException('job %s not properly prepared' % my_sj.getFQID('.'))
self.__appendResult__( my_sj.id, jdlpath )
return True
except Exception,x:
log_user_exception()
return False
def __init__(self, monClasses, jobInfos, configInfos):
"""Create a new composite monitoring service based on the lists of
monitoring classes, jobs and configs (all the same length).
If this is called in the Ganga client, i.e. from Ganga/GPIDev/MonitoringServices,
then jobInfos is a list of Job (all the same), configInfos is a list of
Config (specific to each monitoring class).
If this is called on the worker node, i.e. from the text generated by
getWrapperScriptConstructorText(), the jobInfos are dictionaries (specific
to each monitoring class) and configInfos are dictionaries of effective
config options (specific to each monitoring class).
"""
if not (len(monClasses) == len(jobInfos) == len(configInfos)):
raise Exception(
"cannot create monitoring object, list of monitoring classes, jobs and configs are not the same length.")
IMonitoringService.__init__(self, jobInfos, configInfos)
# init the logger
try:
import Ganga.Utility.logging
self.logger = Ganga.Utility.logging.getLogger()
except ImportError:
# on the worker node we don't have access to Ganga logging facilities
# so we simple print out the log message
self.logger = None
# init the monitoring services
self.monMonServices = []
for i in range(len(monClasses)):
try:
monClass = monClasses[i]
# allow for existing monitoring classes which do not take
# config_info in constructor
if configInfos[i] is None:
monService = monClass(jobInfos[i])
else:
monService = monClass(jobInfos[i], configInfos[i])
self.monMonServices.append(monService)
except Exception as e:
# discard errors in initialization of monitoring services
self.logger.warning("Failed to init %s monitoring service...discarding it" % str(monClass))
from Ganga.Utility.logging import log_user_exception
log_user_exception(self.logger)
def master_resubmit(self, rjobs, backend=None):
""" Resubmit (previously submitted) job. Configuration phase is skipped.
Default implementation works is an emulated-bulk operation.
If you override this method for bulk optimization then make sure that you call updateMasterJobStatus() on the master job,
so the master job will be monitored by the monitoring loop.
"""
from Ganga.Core import IncompleteJobSubmissionError, GangaException
from Ganga.Utility.logging import log_user_exception
incomplete = 0
def handleError(x):
if incomplete:
raise x
else:
return 0
try:
for sj in rjobs:
fqid = sj.getFQID('.')
logger.info("resubmitting job %s to %s backend", fqid,
getName(sj.backend))
try:
b = sj.backend
sj.updateStatus('submitting')
if backend is None:
result = b.resubmit()
else:
result = b.resubmit(backend=backend)
if result:
sj.updateStatus('submitted')
# sj._commit() # PENDING: TEMPORARY DISABLED
incomplete = 1
else:
return handleError(
IncompleteJobSubmissionError(
fqid, 'resubmission failed'))
except Exception as x:
log_user_exception(logger, debug=isType(x, GangaException))
return handleError(
IncompleteJobSubmissionError(fqid, str(x)))
finally:
master = self.getJobObject().master
if master:
master.updateMasterJobStatus()
return 1
def process(self, sj_info):
my_sc = sj_info[0]
my_sj = sj_info[1]
try:
logger.debug("preparing job %s" % my_sj.getFQID('.'))
jdlpath = my_sj.backend.preparejob(my_sc,
master_input_sandbox)
if (not jdlpath) or (not os.path.exists(jdlpath)):
raise GangaException('job %s not properly prepared' %
my_sj.getFQID('.'))
self.__appendResult__(my_sj.id, jdlpath)
return True
except Exception as x:
log_user_exception()
return False
def master_resubmit(self, rjobs, backend=None):
""" Resubmit (previously submitted) job. Configuration phase is skipped.
Default implementation works is an emulated-bulk operation.
If you override this method for bulk optimization then make sure that you call updateMasterJobStatus() on the master job,
so the master job will be monitored by the monitoring loop.
"""
from Ganga.Core import IncompleteJobSubmissionError, GangaException
from Ganga.Utility.logging import log_user_exception
incomplete = 0
def handleError(x):
if incomplete:
raise x
else:
return 0
try:
for sj in rjobs:
fqid = sj.getFQID('.')
logger.info(
"resubmitting job %s to %s backend", fqid, sj.backend._name)
try:
b = sj.backend
sj.updateStatus('submitting')
if backend is None:
result = b.resubmit()
else:
result = b.resubmit(backend=backend)
if result:
sj.updateStatus('submitted')
# sj._commit() # PENDING: TEMPORARY DISABLED
incomplete = 1
else:
return handleError(IncompleteJobSubmissionError(fqid, 'resubmission failed'))
except Exception as x:
log_user_exception(
logger, debug=isinstance(x, GangaException))
return handleError(IncompleteJobSubmissionError(fqid, str(x)))
finally:
master = self.getJobObject().master
if master:
master.updateMasterJobStatus()
return 1
def _parallel_submit(self, b, sj, sc, master_input_sandbox, fqid, logger):
try:
sj.updateStatus('submitting')
if b.submit(sc, master_input_sandbox):
sj.updateStatus('submitted')
sj.info.increment()
else:
raise IncompleteJobSubmissionError(fqid, 'submission failed')
except Exception as err:
#from Ganga.Utility.logging import log_user_exception
sj.updateStatus('failed')
from Ganga.Core.exceptions import GangaException
if isinstance(err, GangaException):
logger.error(str(err))
log_user_exception(logger, debug=True)
else:
log_user_exception(logger, debug=False)
finally:
pass
def master_submit(self, rjobs, subjobconfigs, masterjobconfig, keep_going=False, parallel_submit=False):
""" Submit the master job and all its subjobs. The
masterjobconfig is shared, individual subjob configs are
defined in subjobconfigs. Submission of individual jobs
(not-split) also always goes via this method. In that case
the subjobconfigs contains just one element - the job itself.
The default implementation of this method emulates the bulk
submission calling a submit() method on individual subjob
objects. If submission of any of the subjobs fails then the
whole process is aborted with IncompleteSubmissionError
exception. The subjobs which have already been submitted stay
submitted.
The default implementation does not process the masterjobconfig.
Therefore this method may be overriden in the derived class
in the following way:
def master_submit(self,masterjobconfig,subjobconfigs,keep_going):
...
do_some_processsing_of(masterjobconfig)
...
return IBackend.master_submit(self,subjobconfigs,masterjobconfig,keep_joing)
Implementation note: we set keep_going to be optional in the
signature of IBackend.master_submit() to allow the existing
backend implementations which do not support keep_going=True
and which at some point may call IBackend.master_submit() to
work without change. It may sometimes be non-trivial to enable
support for keep_going=True in some backends, even if the
finally call IBackend.master_submit(). Therefore it is left to
the decision of backend developer to explicitly enable the
support for keep_going flag.
"""
from Ganga.Core import IncompleteJobSubmissionError, GangaException
from Ganga.Utility.logging import log_user_exception
job = self.getJobObject()
logger.debug("SubJobConfigs: %s" % len(subjobconfigs))
logger.debug("rjobs: %s" % len(rjobs))
assert(implies(rjobs, len(subjobconfigs) == len(rjobs)))
incomplete = 0
incomplete_subjobs = []
def handleError(x):
if keep_going:
incomplete_subjobs.append(fqid)
return False
else:
if incomplete:
raise x
else:
return True
master_input_sandbox = self.master_prepare(masterjobconfig)
if parallel_submit:
from Ganga.GPI import queues
threads_before = queues.totalNumIntThreads()
for sc, sj in zip(subjobconfigs, rjobs):
fqid = sj.getFQID('.')
b = sj.backend
# FIXME would be nice to move this to the internal threads not user ones
#from Ganga.GPIDev.Base.Proxy import stripProxy
#all_queues = stripProxy(queues)
#all_queues._addSystem( self._parallel_submit, ( b, sj, sc, master_input_sandbox, fqid, logger ) )
queues._monitoring_threadpool.add_function(self._parallel_submit, (b, sj, sc, master_input_sandbox, fqid, logger))
def subjob_status_check(rjobs):
has_submitted = True
for sj in rjobs:
if sj.status not in ["submitted","failed","completed","running","completing"]:
has_submitted = False
break
return has_submitted
while not subjob_status_check(rjobs):
import time
time.sleep(1.)
for i in rjobs:
if i.status in ["new", "failed"]:
return 0
return 1
for sc, sj in zip(subjobconfigs, rjobs):
fqid = sj.getFQID('.')
logger.info("submitting job %s to %s backend", fqid, sj.backend._name)
try:
b = sj.backend
sj.updateStatus('submitting')
if b.submit(sc, master_input_sandbox):
sj.updateStatus('submitted')
# sj._commit() # PENDING: TEMPORARY DISABLED
incomplete = 1
sj.info.increment()
else:
if handleError(IncompleteJobSubmissionError(fqid, 'submission failed')):
return 0
except Exception as x:
#sj.updateStatus('new')
if isinstance(x, GangaException):
logger.error(str(x))
log_user_exception(logger, debug=True)
else:
log_user_exception(logger, debug=False)
if handleError(IncompleteJobSubmissionError(fqid, str(x))):
return 0
if incomplete_subjobs:
raise IncompleteJobSubmissionError(
incomplete_subjobs, 'submission failed')
return 1
def master_submit(self, rjobs, subjobconfigs, masterjobconfig, keep_going=False, parallel_submit=False):
""" Submit the master job and all its subjobs. The
masterjobconfig is shared, individual subjob configs are
defined in subjobconfigs. Submission of individual jobs
(not-split) also always goes via this method. In that case
the subjobconfigs contains just one element - the job itself.
The default implementation of this method emulates the bulk
submission calling a submit() method on individual subjob
objects. If submission of any of the subjobs fails then the
whole process is aborted with IncompleteSubmissionError
exception. The subjobs which have already been submitted stay
submitted.
The default implementation does not process the masterjobconfig.
Therefore this method may be overriden in the derived class
in the following way:
def master_submit(self,masterjobconfig,subjobconfigs,keep_going):
...
do_some_processsing_of(masterjobconfig)
...
return IBackend.master_submit(self,subjobconfigs,masterjobconfig,keep_joing)
Implementation note: we set keep_going to be optional in the
signature of IBackend.master_submit() to allow the existing
backend implementations which do not support keep_going=True
and which at some point may call IBackend.master_submit() to
work without change. It may sometimes be non-trivial to enable
support for keep_going=True in some backends, even if the
finally call IBackend.master_submit(). Therefore it is left to
the decision of backend developer to explicitly enable the
support for keep_going flag.
"""
from Ganga.Utility.logging import log_user_exception
logger.debug("SubJobConfigs: %s" % len(subjobconfigs))
logger.debug("rjobs: %s" % len(rjobs))
assert(implies(rjobs, len(subjobconfigs) == len(rjobs)))
incomplete = 0
incomplete_subjobs = []
def handleError(x):
if keep_going:
incomplete_subjobs.append(fqid)
return False
else:
if incomplete:
raise x
else:
return True
master_input_sandbox = self.master_prepare(masterjobconfig)
# Shall we submit in parallel
if parallel_submit:
from Ganga.Core.GangaThread.WorkerThreads import getQueues
threads_before = getQueues().totalNumIntThreads()
for sc, sj in zip(subjobconfigs, rjobs):
b = sj.backend
# Must check for credentials here as we cannot handle missing credentials on Queues by design!
if hasattr(b, 'credential_requirements') and b.credential_requirements is not None:
from Ganga.GPIDev.Credentials.CredentialStore import credential_store
try:
cred = credential_store[b.credential_requirements]
except GangaKeyError:
credential_store.create(b.credential_requirements)
fqid = sj.getFQID('.')
# FIXME would be nice to move this to the internal threads not user ones
getQueues()._monitoring_threadpool.add_function(self._parallel_submit, (b, sj, sc, master_input_sandbox, fqid, logger), callback_func = self._successfulSubmit, callback_args = (sj, incomplete_subjobs))
def subjob_status_check(rjobs):
has_submitted = True
for sj in rjobs:
if sj.status not in ["submitted","failed","completed","running","completing"] and sj.getFQID('.') not in incomplete_subjobs:
has_submitted = False
break
return has_submitted
while not subjob_status_check(rjobs):
import time
time.sleep(1.)
if incomplete_subjobs:
raise IncompleteJobSubmissionError(
incomplete_subjobs, 'submission failed for subjobs %s' % incomplete_subjobs)
return 1
# Alternatively submit sequentially
for sc, sj in zip(subjobconfigs, rjobs):
fqid = sj.getFQID('.')
logger.info("submitting job %s to %s backend", fqid, getName(sj.backend))
try:
b = stripProxy(sj.backend)
sj.updateStatus('submitting')
if b.submit(sc, master_input_sandbox):
sj.updateStatus('submitted')
# sj._commit() # PENDING: TEMPORARY DISABLED
incomplete = 1
stripProxy(sj.info).increment()
else:
if handleError(IncompleteJobSubmissionError(fqid, 'submission failed')):
raise IncompleteJobSubmissionError(fqid, 'submission failed')
except Exception as x:
sj.updateStatus('new')
if isType(x, GangaException):
logger.error("%s" % x)
log_user_exception(logger, debug=True)
else:
log_user_exception(logger, debug=False)
raise IncompleteJobSubmissionError(fqid, 'submission failed')
return 1
def master_submit(self,
rjobs,
subjobconfigs,
masterjobconfig,
keep_going=False,
parallel_submit=False):
""" Submit the master job and all its subjobs. The
masterjobconfig is shared, individual subjob configs are
defined in subjobconfigs. Submission of individual jobs
(not-split) also always goes via this method. In that case
the subjobconfigs contains just one element - the job itself.
The default implementation of this method emulates the bulk
submission calling a submit() method on individual subjob
objects. If submission of any of the subjobs fails then the
whole process is aborted with IncompleteSubmissionError
exception. The subjobs which have already been submitted stay
submitted.
The default implementation does not process the masterjobconfig.
Therefore this method may be overriden in the derived class
in the following way:
def master_submit(self,masterjobconfig,subjobconfigs,keep_going):
...
do_some_processsing_of(masterjobconfig)
...
return IBackend.master_submit(self,subjobconfigs,masterjobconfig,keep_joing)
Implementation note: we set keep_going to be optional in the
signature of IBackend.master_submit() to allow the existing
backend implementations which do not support keep_going=True
and which at some point may call IBackend.master_submit() to
work without change. It may sometimes be non-trivial to enable
support for keep_going=True in some backends, even if the
finally call IBackend.master_submit(). Therefore it is left to
the decision of backend developer to explicitly enable the
support for keep_going flag.
"""
from Ganga.Core import IncompleteJobSubmissionError, GangaException
from Ganga.Utility.logging import log_user_exception
logger.debug("SubJobConfigs: %s" % len(subjobconfigs))
logger.debug("rjobs: %s" % len(rjobs))
assert (implies(rjobs, len(subjobconfigs) == len(rjobs)))
incomplete = 0
incomplete_subjobs = []
def handleError(x):
if keep_going:
incomplete_subjobs.append(fqid)
return False
else:
if incomplete:
raise x
else:
return True
master_input_sandbox = self.master_prepare(masterjobconfig)
if parallel_submit:
from Ganga.GPI import queues
threads_before = queues.totalNumIntThreads()
for sc, sj in zip(subjobconfigs, rjobs):
fqid = sj.getFQID('.')
b = sj.backend
# FIXME would be nice to move this to the internal threads not user ones
#from Ganga.GPIDev.Base.Proxy import stripProxy
#all_queues = stripProxy(queues)
#all_queues._addSystem( self._parallel_submit, ( b, sj, sc, master_input_sandbox, fqid, logger ) )
queues._monitoring_threadpool.add_function(
self._parallel_submit,
(b, sj, sc, master_input_sandbox, fqid, logger))
def subjob_status_check(rjobs):
has_submitted = True
for sj in rjobs:
if sj.status not in [
"submitted", "failed", "completed", "running",
"completing"
]:
has_submitted = False
break
return has_submitted
while not subjob_status_check(rjobs):
import time
time.sleep(1.)
for i in rjobs:
if i.status in ["new", "failed"]:
return 0
return 1
for sc, sj in zip(subjobconfigs, rjobs):
fqid = sj.getFQID('.')
logger.info("submitting job %s to %s backend", fqid,
getName(sj.backend))
try:
b = stripProxy(sj.backend)
sj.updateStatus('submitting')
if b.submit(sc, master_input_sandbox):
sj.updateStatus('submitted')
# sj._commit() # PENDING: TEMPORARY DISABLED
incomplete = 1
stripProxy(sj.info).increment()
else:
if handleError(
IncompleteJobSubmissionError(
fqid, 'submission failed')):
return 0
except Exception as x:
#sj.updateStatus('new')
if isType(x, GangaException):
logger.error(str(x))
log_user_exception(logger, debug=True)
else:
log_user_exception(logger, debug=False)
if handleError(IncompleteJobSubmissionError(fqid, str(x))):
return 0
if incomplete_subjobs:
raise IncompleteJobSubmissionError(incomplete_subjobs,
'submission failed')
return 1
def master_submit(self,rjobs,subjobconfigs,masterjobconfig,keep_going=False):
""" Submit the master job and all its subjobs. The
masterjobconfig is shared, individual subjob configs are
defined in subjobconfigs. Submission of individual jobs
(not-split) also always goes via this method. In that case
the subjobconfigs contains just one element - the job itself.
The default implementation of this method emulates the bulk
submission calling a submit() method on individual subjob
objects. If submission of any of the subjobs fails then the
whole process is aborted with IncompleteSubmissionError
exception. The subjobs which have already been submitted stay
submitted.
The default implementation does not process the masterjobconfig.
Therefore this method may be overriden in the derived class
in the following way:
def master_submit(self,masterjobconfig,subjobconfigs,keep_going):
...
do_some_processsing_of(masterjobconfig)
...
return IBackend.master_submit(self,subjobconfigs,masterjobconfig,keep_joing)
Implementation note: we set keep_going to be optional in the
signature of IBackend.master_submit() to allow the existing
backend implementations which do not support keep_going=True
and which at some point may call IBackend.master_submit() to
work without change. It may sometimes be non-trivial to enable
support for keep_going=True in some backends, even if the
finally call IBackend.master_submit(). Therefore it is left to
the decision of backend developer to explicitly enable the
support for keep_going flag.
"""
from Ganga.Core import IncompleteJobSubmissionError, GangaException
from Ganga.Utility.logging import log_user_exception
job = self.getJobObject()
assert(implies(rjobs,len(subjobconfigs)==len(rjobs)))
incomplete = 0
incomplete_subjobs = []
def handleError(x):
if keep_going:
incomplete_subjobs.append(fqid)
return False
else:
if incomplete:
raise x
else:
return True
master_input_sandbox=self.master_prepare(masterjobconfig)
for sc,sj in zip(subjobconfigs,rjobs):
fqid = sj.getFQID('.')
logger.info("submitting job %s to %s backend",fqid,sj.backend._name)
try:
b = sj.backend
sj.updateStatus('submitting')
if b.submit(sc,master_input_sandbox):
sj.updateStatus('submitted')
#sj._commit() # PENDING: TEMPORARY DISABLED
incomplete = 1
else:
if handleError(IncompleteJobSubmissionError(fqid,'submission failed')):
return 0
except Exception,x:
sj.updateStatus('new')
if isinstance(x,GangaException):
logger.error(str(x))
log_user_exception(logger,debug = True)
else:
log_user_exception(logger,debug = False)
if handleError(IncompleteJobSubmissionError(fqid,str(x))):
return 0
for c in config:
logger.error('%s = %s',c,config[c])
s = 'Cannot connect to the repository: '+str(x)
logger.error(s)
return s
reps = []
try:
for n in names:
reps.append(factory(dir = os.path.join(getLocalRoot(),version,n)))
except RepositoryError,x:
s = print_error(x)
raise
except Exception,x:
s = print_error(x)
log_user_exception(logger)
raise
from Ganga.GPIDev.Lib.JobRegistry import JobRegistryInstance, JobRegistryInterface, allJobRegistries
regs = map(lambda x: JobRegistryInstance(*x), zip(names,reps))
for n,r in zip(names,regs):
allJobRegistries['native_'+n] = r
if n == 'jobs' and config['DEBUG_startup_profile']:
PROFN = 'xml.startup.profile.txt'
print 'profiling ON, saving status to',PROFN
import profile
profile.runctx('r._scan_repository()',globals(),{'r':r},PROFN)
else:
try: