def get_internal_sweep_map(self, settings, **kwargs):
run_settings = kwargs['run_settings']
rand_index = 42
if '%s/input/prism' % django_settings.SCHEMA_PREFIX in run_settings:
try:
internal_sweep_map = getval(run_settings, '%s/input/prism/internal_sweep_map' % django_settings.SCHEMA_PREFIX)
logger.debug("internal_sweep_map=%s" % internal_sweep_map)
except ValueError:
logger.error("cannot convert %s to internal_sweep_map" % getval(run_settings, '%s/input/prism/internal_sweep_map' % django_settings.SCHEMA_PREFIX))
try:
map = dict(ast.literal_eval(internal_sweep_map))
except e:
logger.debug(e)
raise BadSpecificationError(e)
else:
message = "Unknown dimensionality of problem"
logger.error(message)
raise BadSpecificationError(message)
logger.debug('map=%s' % map)
return map, rand_index
else:
rand_nums = jobs.generate_rands(local_settings, 0,
local_settings['max_seed_int'],
1, rand_index)
rand_index += N
map = {
'temp': [i for i in [300, 700, 1100, 1500]
], # Fixme: temp should be hrmc parameter
'iseed': rand_nums,
'istart': [1],
'pottype': [pottype],
}
else:
message = "Unknown dimensionality of problem"
logger.error(message)
raise BadSpecificationError(message)
logger.debug('map=%s' % map)
return map, rand_index
#fixme: consider moving to parent class. do we need input dirs to calculate?
def get_total_templates(self, maps, **kwargs):
run_settings = kwargs['run_settings']
output_storage_settings = kwargs['output_storage_settings']
job_dir = kwargs['job_dir']
try:
id = int(getval(run_settings, '%s/system/id' % RMIT_SCHEMA))
except (SettingNotFoundException, ValueError) as e:
logger.debug(e)
id = 0
iter_inputdir = os.path.join(job_dir, "input_%s" % id)
url_with_pkey = get_url_with_credentials(