def old_max_simulation():
"""
attribute # JSON attribute
events 8,000,000* len_events
Sites 3,000,000 len_block_sites
periods 10 len_atten_periods
return periods 10 len_return_periods
source zones 150 len_source_zones
SA surfaces (Sa soil and Sa bed rock) 2 len_SA_surfaces
# of GM models 5 len_max_GMPEs
Note, i'm not doing 150 source zones. The mem estimate's have been
good, without taking it into account.
"""
runs = []
num_sources = 4
sdp = create_base()
###
sdp.site_indexes = range(1, 400)
events = 80000
events = 800
events = 8000000
events = 80
sdp.return_periods = [100.75, 200.0, 300.0, 400.0, 500.0,
600.0, 700.0, 800.0, 900, 1000.]
sdp.atten_periods = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0]
sdp.use_amplification = True
sdp.atten_spawn_bins = 1
sites_needed = 17278
sdp.file_parallel_log_level = 'debug'
sdp.use_site_indexes = False
###
num_sites = 17277
events_source = events/num_sources
sdp.prob_number_of_events_in_zones = [events_source]*num_sources
sdp.prob_number_of_events_in_zones[0] += events%num_sources
sdp.use_site_indexes = True
sdp.site_indexes = create_sites_list(num_sites, sites_needed)
assert sum(sdp.prob_number_of_events_in_zones) == events
assert len(sdp.site_indexes) == sites_needed
sdp.event_control_tag = "4GMPE"
dir_last = 'old_max_sim_again_' + str(sum(
sdp.prob_number_of_events_in_zones)) + \
"_sites" + str(len(sdp.site_indexes))
sdp.output_dir = os.path.join(eqrm_data_home(), 'test_national',
'memory_output', dir_last)
runs.append({"processes":1, "sdp":sdp})
return runs
def risk_simulation():
"""
"""
runs = []
num_sources = 6
###
sdp = create_base_risk()
sdp.atten_collapse_Sa_of_atten_models = True
sdp.atten_variability_method = 2
###
sites_needed = 1
events = 80
###
events_source = events/num_sources
num_sites = 17278
sdp.prob_number_of_events_in_zones = [events_source]*num_sources
sdp.prob_number_of_events_in_zones[0] += events%num_sources
sdp.site_indexes = create_sites_list(num_sites, sites_needed)
dir_last = 'initial_risk_' + str(events) + \
"_sites" + str(sites_needed)
sdp.output_dir = os.path.join(eqrm_data_home(), 'test_national',
'memory_output_riskB', dir_last)
runs.append({"processes":1, "sdp":sdp})
sdp = create_base_risk()
sdp.atten_collapse_Sa_of_atten_models = True
sdp.atten_variability_method = 2
###
sites_needed = 2
events = 80
###
events_source = events/num_sources
num_sites = 17278
sdp.prob_number_of_events_in_zones = [events_source]*num_sources
sdp.prob_number_of_events_in_zones[0] += events%num_sources
sdp.site_indexes = create_sites_list(num_sites, sites_needed)
dir_last = 'initial_risk_' + str(events) + \
"_sites" + str(sites_needed)
sdp.output_dir = os.path.join(eqrm_data_home(), 'test_national',
'memory_output_riskB', dir_last)
runs.append({"processes":1, "sdp":sdp})
sdp = create_base_risk()
sdp.atten_collapse_Sa_of_atten_models = True
sdp.atten_variability_method = 2
###
sites_needed = 1
events = 800
###
events_source = events/num_sources
num_sites = 17278
sdp.prob_number_of_events_in_zones = [events_source]*num_sources
sdp.prob_number_of_events_in_zones[0] += events%num_sources
sdp.site_indexes = create_sites_list(num_sites, sites_needed)
dir_last = 'initial_risk_' + str(events) + \
"_sites" + str(sites_needed)
sdp.output_dir = os.path.join(eqrm_data_home(), 'test_national',
'memory_output_risk', dir_last)
#runs.append({"processes":1, "sdp":sdp})
sdp = create_base_risk()
sdp.atten_collapse_Sa_of_atten_models = True
sdp.atten_variability_method = 2
###
sites_needed = 10
events = 800
###
events_source = events/num_sources
num_sites = 17278
sdp.prob_number_of_events_in_zones = [events_source]*num_sources
sdp.prob_number_of_events_in_zones[0] += events%num_sources
sdp.site_indexes = create_sites_list(num_sites, sites_needed)
dir_last = 'initial_risk_' + str(events) + \
"_sites" + str(sites_needed)
sdp.output_dir = os.path.join(eqrm_data_home(), 'test_national',
'memory_output_risk', dir_last)
#runs.append({"processes":1, "sdp":sdp})
sdp = create_base_risk()
sdp.atten_collapse_Sa_of_atten_models = True
sdp.atten_variability_method = 2
###
sites_needed = 1
events = 80000
###
events_source = events/num_sources
num_sites = 17278
sdp.prob_number_of_events_in_zones = [events_source]*num_sources
sdp.prob_number_of_events_in_zones[0] += events%num_sources
sdp.site_indexes = create_sites_list(num_sites, sites_needed)
dir_last = 'initial_risk_' + str(events) + \
"_sites" + str(sites_needed)
sdp.output_dir = os.path.join(eqrm_data_home(), 'test_national',
'memory_output_risk', dir_last)
#runs.append({"processes":1, "sdp":sdp})
return runs