def __init__(self):
Configuration.__init__(self, config)
self.merge(my_configuration)
if not my_configuration[
'creating_baseyear_cache_configuration'].cache_from_database:
del self[
"input_configuration"] # don't bother with the database if everything is in cache
def __init__(self):
my_config = self._get_initial_config()
Configuration.__init__(self, my_config)
def __init__(self):
Configuration.__init__(self, config)
self.merge(my_configuration)
if not my_configuration['creating_baseyear_cache_configuration'].cache_from_database:
del self["input_configuration"] # don't bother with the database if everything is in cache
def __init__(self):
Configuration.__init__(self, self.__my_configuration())
def __init__(self):
Configuration.__init__(
self,
data={
"scenario_database_configuration": ScenarioDatabaseConfiguration(database_name="washtenaw_class"),
"datasets_to_cache_after_each_model": [],
"low_memory_mode": False,
"creating_baseyear_cache_configuration": CreatingBaseyearCacheConfiguration(
unroll_gridcells=True,
cache_from_database=False,
baseyear_cache=BaseyearCacheConfiguration(
existing_cache_to_copy="/urbansim_cache/workshop/cache_source",
# years_to_cache = range(1996,2001)
),
tables_to_cache=[
"annual_employment_control_totals",
"annual_household_control_totals",
"buildings",
"building_types",
"development_event_history",
"gridcells",
"households",
"job_building_types",
"jobs",
"travel_data",
"zones",
"counties",
"commercial_development_location_choice_model_coefficients",
"commercial_development_location_choice_model_specification",
"commercial_employment_location_choice_model_coefficients",
"commercial_employment_location_choice_model_specification",
"home_based_employment_location_choice_model_specification",
"home_based_employment_location_choice_model_coefficients",
"industrial_employment_location_choice_model_coefficients",
"industrial_employment_location_choice_model_specification",
"industrial_development_location_choice_model_coefficients",
"industrial_development_location_choice_model_specification",
"residential_development_location_choice_model_coefficients",
"residential_development_location_choice_model_specification",
"fazes",
"urbansim_constants",
"household_location_choice_model_coefficients",
"household_location_choice_model_specification",
"land_price_model_coefficients",
"land_price_model_specification",
"residential_land_share_model_coefficients",
"residential_land_share_model_specification",
"plan_type_group_definitions",
"plan_type_groups",
"large_areas",
"household_characteristics_for_ht",
"development_types",
"development_type_group_definitions",
"development_constraints",
"annual_relocation_rates_for_households",
"annual_relocation_rates_for_jobs",
"base_year",
"cities",
"development_events",
"development_type_groups",
"employment_adhoc_sector_group_definitions",
"employment_adhoc_sector_groups",
"employment_sectors",
"plan_types",
"race_names",
"target_vacancies",
"jobs_for_estimation",
"households_for_estimation",
"development_events_exogenous",
"job_building_types",
],
tables_to_cache_nchunks={"gridcells": 1},
tables_to_copy_to_previous_years={
"development_type_group_definitions": 1995,
"development_type_groups": 1995,
"development_types": 1995,
"development_constraints": 1995,
"urbansim_constants": 1995,
},
),
"dataset_pool_configuration": DatasetPoolConfiguration(
package_order=["washtenaw", "urbansim", "opus_core"]
),
"base_year": 2000,
"years": (2000, 2000),
},
)
def __init__(self):
Configuration.__init__(self)
estimation_changes = self._get_estimation_changes()
self.merge(estimation_changes)
def __init__(self):
Configuration.__init__(self, self.__my_configuration())
def __init__(self):
Configuration.__init__(
self,
data={
'scenario_database_configuration':
ScenarioDatabaseConfiguration(
database_name="washtenaw_class", ),
'datasets_to_cache_after_each_model': [],
'low_memory_mode':
False,
'creating_baseyear_cache_configuration':
CreatingBaseyearCacheConfiguration(
unroll_gridcells=True,
cache_from_database=False,
baseyear_cache=BaseyearCacheConfiguration(
existing_cache_to_copy=
'/urbansim_cache/workshop/cache_source',
#years_to_cache = range(1996,2001)
),
tables_to_cache=[
'annual_employment_control_totals',
'annual_household_control_totals', 'buildings',
'building_types', 'development_event_history',
'gridcells', 'households', 'job_building_types',
'jobs', 'travel_data', 'zones', 'counties',
'commercial_development_location_choice_model_coefficients',
'commercial_development_location_choice_model_specification',
'commercial_employment_location_choice_model_coefficients',
'commercial_employment_location_choice_model_specification',
'home_based_employment_location_choice_model_specification',
'home_based_employment_location_choice_model_coefficients',
'industrial_employment_location_choice_model_coefficients',
'industrial_employment_location_choice_model_specification',
'industrial_development_location_choice_model_coefficients',
'industrial_development_location_choice_model_specification',
'residential_development_location_choice_model_coefficients',
'residential_development_location_choice_model_specification',
'fazes', 'urbansim_constants',
'household_location_choice_model_coefficients',
'household_location_choice_model_specification',
'land_price_model_coefficients',
'land_price_model_specification',
'residential_land_share_model_coefficients',
'residential_land_share_model_specification',
'plan_type_group_definitions', 'plan_type_groups',
'large_areas', 'household_characteristics_for_ht',
'development_types',
'development_type_group_definitions',
'development_constraints',
'annual_relocation_rates_for_households',
'annual_relocation_rates_for_jobs', 'base_year',
'cities', 'development_events',
'development_type_groups',
'employment_adhoc_sector_group_definitions',
'employment_adhoc_sector_groups', 'employment_sectors',
'plan_types', 'race_names', 'target_vacancies',
'jobs_for_estimation', 'households_for_estimation',
'development_events_exogenous', 'job_building_types'
],
tables_to_cache_nchunks={'gridcells': 1},
tables_to_copy_to_previous_years={
'development_type_group_definitions': 1995,
'development_type_groups': 1995,
'development_types': 1995,
'development_constraints': 1995,
'urbansim_constants': 1995,
},
),
'dataset_pool_configuration':
DatasetPoolConfiguration(
package_order=['washtenaw', 'urbansim', 'opus_core'], ),
'base_year':
2000,
'years': (2000, 2000),
})
def __init__(self, data={}):
"""The argument 'data' is a python native dictionary (class 'dict').
"""
Configuration.__init__(self, data)
def __init__(self):
Configuration.__init__(self)
self['models'] = [
'real_estate_price_model',
'development_project_transition_model',
'commercial_development_project_location_choice_model',
'industrial_development_project_location_choice_model',
'residential_development_project_location_choice_model',
'add_projects_to_buildings',
'household_transition_model',
'employment_transition_model',
'household_relocation_model',
'household_location_choice_model',
'employment_relocation_model',
{ 'employment_location_choice_model': { 'group_members': '_all_'}},
'distribute_unplaced_jobs_model',
]
self['model_system'] = 'urbansim.model_coordinators.model_system'
my_controller_configuration = {
'real_estate_price_model': RealEstatePriceModelConfigurationCreator(
dataset='building',
outcome_attribute = 'ln_unit_price=ln(building.avg_value)',
submodel_string = 'building_type_id',
filter_variable = None,
).execute(),
'residential_development_project_location_choice_model': DevelopmentProjectLocationChoiceModelConfigurationCreator(
project_type = 'residential',
coefficients_table = 'residential_development_location_choice_model_coefficients',
specification_table = 'residential_development_location_choice_model_specification',
units = 'residential_units',
sampler = None,
capacity_string = 'urbansim_zone.zone.developable_residential_units',
).execute(),
'commercial_development_project_location_choice_model': DevelopmentProjectLocationChoiceModelConfigurationCreator(
project_type = 'commercial',
coefficients_table = 'commercial_development_location_choice_model_coefficients',
specification_table = 'commercial_development_location_choice_model_specification',
units = 'commercial_job_spaces',
sampler = None,
).execute(),
'industrial_development_project_location_choice_model': DevelopmentProjectLocationChoiceModelConfigurationCreator(
project_type = 'industrial',
coefficients_table = 'industrial_development_location_choice_model_coefficients',
specification_table = 'industrial_development_location_choice_model_specification',
units = 'industrial_job_spaces',
sampler = None,
).execute(),
'development_project_transition_model': DevelopmentProjectTransitionModelConfigurationCreator(
vacancy_variables = {"commercial": "urbansim_zone.zone.number_of_vacant_commercial_jobs",
"industrial": "urbansim_zone.zone.number_of_vacant_industrial_jobs"
},
output_results = 'dptm_results',
).execute(),
'add_projects_to_buildings': AddProjectsToBuildingsConfigurationCreator().execute(),
'employment_transition_model':
EmploymentTransitionModelConfigurationCreator(
location_id_name="zone_id",
).execute(),
'household_transition_model':
HouseholdTransitionModelConfigurationCreator(
location_id_name="zone_id",
).execute(),
'employment_relocation_model':
EmploymentRelocationModelConfigurationCreator(
location_id_name = 'zone_id',
output_index = 'erm_index').execute(),
'household_relocation_model': HouseholdRelocationModelConfigurationCreator(
location_id_name = 'zone_id',
output_index = 'hrm_index',
).execute(),
'household_location_choice_model': HouseholdLocationChoiceModelConfigurationCreator(
location_set = "zone",
capacity_string = 'urbansim_zone.zone.vacant_residential_units',
estimation_weight_string = 'urbansim_zone.zone.vacant_residential_units',
portion_to_unplace = 1/3.0,
nchunks = 3,
number_of_units_string = None,
input_index = 'hrm_index',
).execute(),
'employment_location_choice_model':
EmploymentLocationChoiceModelConfigurationCreator(
location_set = "zone",
input_index = 'erm_index',
agents_for_estimation_table = "jobs_for_estimation",
estimation_weight_string = None,
number_of_units_string = None,
portion_to_unplace = 0,
capacity_string = "urbansim_zone.zone.number_of_vacant_SSS_jobs",
).execute(),
'home_based_employment_location_choice_model':
EmploymentLocationChoiceModelConfigurationCreator(
location_set = "zone",
input_index = 'erm_index',
estimation_weight_string = "urbansim.zone.number_of_households",
agents_for_estimation_table = None, # will take standard jobs table
estimation_size_agents = 0.5,
number_of_units_string = None,
portion_to_unplace = 0,
capacity_string = "urbansim.zone.number_of_households",
).execute(),
'governmental_employment_location_choice_model':
GovernmentalEmploymentLocationChoiceModelConfigurationCreator(
input_index = 'erm_index',
location_set = 'zone'
).execute(),
'distribute_unplaced_jobs_model': DistributeUnplacedJobsModelConfigurationCreator(
location_set = 'zone'
).execute(),
}
self['models_configuration'] = {}
for model in my_controller_configuration.keys():
if model not in self["models_configuration"].keys():
self["models_configuration"][model] = {}
self['models_configuration'][model]['controller'] = my_controller_configuration[model]
self["datasets_to_preload"] = {
'building':{},
'zone':{},
'household':{},
'job': {},
'job_building_type':{},
'target_vacancy':{},
'development_event_history':{},
'building_type': {}
}
def __init__(self):
Configuration.__init__(self)
self['residential_regional_development_project_location_choice_model'] = {
'controller': RegionalDevelopmentProjectLocationChoiceModelConfigurationCreator(
project_type = 'residential',
coefficients_table = 'residential_development_location_choice_model_coefficients',
specification_table = 'residential_development_location_choice_model_specification',
#submodel_string = None
).execute(),
}
self['commercial_regional_development_project_location_choice_model'] = {
'controller': RegionalDevelopmentProjectLocationChoiceModelConfigurationCreator(
project_type = 'commercial',
coefficients_table = 'commercial_development_location_choice_model_coefficients',
specification_table = 'commercial_development_location_choice_model_specification',
#submodel_string = None
).execute(),
}
self['industrial_regional_development_project_location_choice_model'] = {
'controller': RegionalDevelopmentProjectLocationChoiceModelConfigurationCreator(
project_type = 'industrial',
coefficients_table = 'industrial_development_location_choice_model_coefficients',
specification_table = 'industrial_development_location_choice_model_specification',
#submodel_string = None
).execute(),
}
self['regional_development_project_transition_model'] = {
'controller': RegionalDevelopmentProjectTransitionModelConfigurationCreator(
output_results = 'dptm_results',
).execute(),
}
self['regional_household_transition_model'] = {
'controller': RegionalHouseholdTransitionModelConfigurationCreator().execute(),
}
self['regional_employment_transition_model'] = {
'controller': RegionalEmploymentTransitionModelConfigurationCreator().execute(),
}
self['regional_employment_location_choice_model'] = {
'controller': RegionalEmploymentLocationChoiceModelConfigurationCreator(
).execute(),
}
self['home_based_regional_employment_location_choice_model'] = {
'controller': HomeBasedRegionalEmploymentLocationChoiceModelConfigurationCreator(
).execute(),
}
self['governmental_regional_employment_location_choice_model'] = {
'controller': GovernmentalRegionalEmploymentLocationChoiceModelConfigurationCreator(
).execute(),
}
self['regional_household_location_choice_model'] = {
'controller': RegionalHouseholdLocationChoiceModelConfigurationCreator(
).execute(),
}
self['regional_household_relocation_model'] = {
'controller': RegionalHouseholdRelocationModelConfigurationCreator(
).execute(),
}
self['regional_employment_relocation_model'] = {
'controller': RegionalEmploymentRelocationModelConfigurationCreator(
).execute(),
}
self['regional_distribute_unplaced_jobs_model'] = {
'controller': RegionalDistributeUnplacedJobsModelConfigurationCreator(
).execute(),
}
self['jobs_event_model'] = {
'controller': JobsEventModelConfigurationCreator(
).execute(),
}
self['households_event_model'] = {
'controller': HouseholdsEventModelConfigurationCreator(
).execute(),
}
#if __name__ == '__main__':
# ControllerConfiguration()
def __init__(self):
Configuration.__init__(self, data = {
'scenario_database_configuration':ScenarioDatabaseConfiguration(
database_name = "washtenaw_class",
),
'datasets_to_cache_after_each_model':[],
'low_memory_mode':False,
'creating_baseyear_cache_configuration':CreatingBaseyearCacheConfiguration(
unroll_gridcells = True,
cache_from_database = False,
baseyear_cache = BaseyearCacheConfiguration(
existing_cache_to_copy = '/urbansim_cache/workshop/cache_source',
#years_to_cache = range(1996,2001)
),
tables_to_cache = [
'annual_employment_control_totals',
'annual_household_control_totals',
'buildings',
'building_types',
'development_event_history',
'gridcells',
'households',
'job_building_types',
'jobs',
'travel_data',
'zones',
'counties',
'commercial_development_location_choice_model_coefficients',
'commercial_development_location_choice_model_specification',
'commercial_employment_location_choice_model_coefficients',
'commercial_employment_location_choice_model_specification',
'home_based_employment_location_choice_model_specification',
'home_based_employment_location_choice_model_coefficients',
'industrial_employment_location_choice_model_coefficients',
'industrial_employment_location_choice_model_specification',
'industrial_development_location_choice_model_coefficients',
'industrial_development_location_choice_model_specification',
'residential_development_location_choice_model_coefficients',
'residential_development_location_choice_model_specification',
'fazes',
'urbansim_constants',
'household_location_choice_model_coefficients',
'household_location_choice_model_specification',
'land_price_model_coefficients',
'land_price_model_specification',
'residential_land_share_model_coefficients',
'residential_land_share_model_specification',
'plan_type_group_definitions',
'plan_type_groups',
'large_areas',
'household_characteristics_for_ht',
'development_types',
'development_type_group_definitions',
'development_constraints',
'annual_relocation_rates_for_households',
'annual_relocation_rates_for_jobs',
'base_year',
'cities',
'development_events',
'development_type_groups',
'employment_adhoc_sector_group_definitions',
'employment_adhoc_sector_groups',
'employment_sectors',
'plan_types',
'race_names',
'target_vacancies',
'jobs_for_estimation',
'households_for_estimation',
'development_events_exogenous',
'job_building_types'
],
tables_to_cache_nchunks = {'gridcells':1},
tables_to_copy_to_previous_years = {
'development_type_group_definitions':1995,
'development_type_groups':1995,
'development_types':1995,
'development_constraints':1995,
'urbansim_constants':1995,
},
),
'dataset_pool_configuration': DatasetPoolConfiguration(
package_order=['washtenaw', 'urbansim', 'opus_core'],
),
'base_year': 2000,
'years': (2000,2000),
})
def __init__(self):
Configuration.__init__(self)
self['models'] = [
'real_estate_price_model',
'development_project_transition_model',
'commercial_development_project_location_choice_model',
'industrial_development_project_location_choice_model',
'residential_development_project_location_choice_model',
'add_projects_to_buildings',
'household_transition_model',
'employment_transition_model',
'household_relocation_model',
'household_location_choice_model',
'employment_relocation_model',
{
'employment_location_choice_model': {
'group_members': '_all_'
}
},
'distribute_unplaced_jobs_model',
]
self['model_system'] = 'urbansim.model_coordinators.model_system'
my_controller_configuration = {
'real_estate_price_model':
RealEstatePriceModelConfigurationCreator(
dataset='building',
outcome_attribute='ln_unit_price=ln(building.avg_value)',
submodel_string='building_type_id',
filter_variable=None,
).execute(),
'residential_development_project_location_choice_model':
DevelopmentProjectLocationChoiceModelConfigurationCreator(
project_type='residential',
coefficients_table=
'residential_development_location_choice_model_coefficients',
specification_table=
'residential_development_location_choice_model_specification',
units='residential_units',
sampler=None,
capacity_string=
'urbansim_zone.zone.developable_residential_units',
).execute(),
'commercial_development_project_location_choice_model':
DevelopmentProjectLocationChoiceModelConfigurationCreator(
project_type='commercial',
coefficients_table=
'commercial_development_location_choice_model_coefficients',
specification_table=
'commercial_development_location_choice_model_specification',
units='commercial_job_spaces',
sampler=None,
).execute(),
'industrial_development_project_location_choice_model':
DevelopmentProjectLocationChoiceModelConfigurationCreator(
project_type='industrial',
coefficients_table=
'industrial_development_location_choice_model_coefficients',
specification_table=
'industrial_development_location_choice_model_specification',
units='industrial_job_spaces',
sampler=None,
).execute(),
'development_project_transition_model':
DevelopmentProjectTransitionModelConfigurationCreator(
vacancy_variables={
"commercial":
"urbansim_zone.zone.number_of_vacant_commercial_jobs",
"industrial":
"urbansim_zone.zone.number_of_vacant_industrial_jobs"
},
output_results='dptm_results',
).execute(),
'add_projects_to_buildings':
AddProjectsToBuildingsConfigurationCreator().execute(),
'employment_transition_model':
EmploymentTransitionModelConfigurationCreator(
location_id_name="zone_id", ).execute(),
'household_transition_model':
HouseholdTransitionModelConfigurationCreator(
location_id_name="zone_id", ).execute(),
'employment_relocation_model':
EmploymentRelocationModelConfigurationCreator(
location_id_name='zone_id',
output_index='erm_index').execute(),
'household_relocation_model':
HouseholdRelocationModelConfigurationCreator(
location_id_name='zone_id',
output_index='hrm_index',
).execute(),
'household_location_choice_model':
HouseholdLocationChoiceModelConfigurationCreator(
location_set="zone",
capacity_string='urbansim_zone.zone.vacant_residential_units',
estimation_weight_string=
'urbansim_zone.zone.vacant_residential_units',
portion_to_unplace=1 / 3.0,
nchunks=3,
number_of_units_string=None,
input_index='hrm_index',
).execute(),
'employment_location_choice_model':
EmploymentLocationChoiceModelConfigurationCreator(
location_set="zone",
input_index='erm_index',
agents_for_estimation_table="jobs_for_estimation",
estimation_weight_string=None,
number_of_units_string=None,
portion_to_unplace=0,
capacity_string="urbansim_zone.zone.number_of_vacant_SSS_jobs",
).execute(),
'home_based_employment_location_choice_model':
EmploymentLocationChoiceModelConfigurationCreator(
location_set="zone",
input_index='erm_index',
estimation_weight_string="urbansim.zone.number_of_households",
agents_for_estimation_table=
None, # will take standard jobs table
estimation_size_agents=0.5,
number_of_units_string=None,
portion_to_unplace=0,
capacity_string="urbansim.zone.number_of_households",
).execute(),
'governmental_employment_location_choice_model':
GovernmentalEmploymentLocationChoiceModelConfigurationCreator(
input_index='erm_index', location_set='zone').execute(),
'distribute_unplaced_jobs_model':
DistributeUnplacedJobsModelConfigurationCreator(
location_set='zone').execute(),
}
self['models_configuration'] = {}
for model in my_controller_configuration.keys():
if model not in self["models_configuration"].keys():
self["models_configuration"][model] = {}
self['models_configuration'][model][
'controller'] = my_controller_configuration[model]
self["datasets_to_preload"] = {
'building': {},
'zone': {},
'household': {},
'job': {},
'job_building_type': {},
'target_vacancy': {},
'development_event_history': {},
'building_type': {}
}
def __init__(self):
Configuration.__init__(self)
estimation_changes = self._get_estimation_changes()
self.merge(estimation_changes)
def __init__(self):
my_config = self._get_initial_config()
Configuration.__init__(self, my_config)
def __init__(self):
Configuration.__init__(self)
self['residential_regional_development_project_location_choice_model'] = {
'controller': RegionalDevelopmentProjectLocationChoiceModelConfigurationCreator(
project_type = 'residential',
coefficients_table = 'residential_development_location_choice_model_coefficients',
specification_table = 'residential_development_location_choice_model_specification',
#submodel_string = None
).execute(),
}
self['commercial_regional_development_project_location_choice_model'] = {
'controller': RegionalDevelopmentProjectLocationChoiceModelConfigurationCreator(
project_type = 'commercial',
coefficients_table = 'commercial_development_location_choice_model_coefficients',
specification_table = 'commercial_development_location_choice_model_specification',
#submodel_string = None
).execute(),
}
self['industrial_regional_development_project_location_choice_model'] = {
'controller': RegionalDevelopmentProjectLocationChoiceModelConfigurationCreator(
project_type = 'industrial',
coefficients_table = 'industrial_development_location_choice_model_coefficients',
specification_table = 'industrial_development_location_choice_model_specification',
#submodel_string = None
).execute(),
}
self['regional_development_project_transition_model'] = {
'controller': RegionalDevelopmentProjectTransitionModelConfigurationCreator(
output_results = 'dptm_results',
).execute(),
}
self['regional_household_transition_model'] = {
'controller': RegionalHouseholdTransitionModelConfigurationCreator().execute(),
}
self['regional_employment_transition_model'] = {
'controller': RegionalEmploymentTransitionModelConfigurationCreator().execute(),
}
self['regional_employment_location_choice_model'] = {
'controller': RegionalEmploymentLocationChoiceModelConfigurationCreator(
).execute(),
}
self['home_based_regional_employment_location_choice_model'] = {
'controller': HomeBasedRegionalEmploymentLocationChoiceModelConfigurationCreator(
).execute(),
}
self['governmental_regional_employment_location_choice_model'] = {
'controller': GovernmentalRegionalEmploymentLocationChoiceModelConfigurationCreator(
).execute(),
}
self['regional_household_location_choice_model'] = {
'controller': RegionalHouseholdLocationChoiceModelConfigurationCreator(
).execute(),
}
self['regional_household_relocation_model'] = {
'controller': RegionalHouseholdRelocationModelConfigurationCreator(
).execute(),
}
self['regional_employment_relocation_model'] = {
'controller': RegionalEmploymentRelocationModelConfigurationCreator(
).execute(),
}
self['regional_distribute_unplaced_jobs_model'] = {
'controller': RegionalDistributeUnplacedJobsModelConfigurationCreator(
).execute(),
}
self['jobs_event_model'] = {
'controller': JobsEventModelConfigurationCreator(
).execute(),
}
self['households_event_model'] = {
'controller': HouseholdsEventModelConfigurationCreator(
).execute(),
}
#if __name__ == '__main__':
# ControllerConfiguration()
def __init__(self, data={}):
"""The argument 'data' is a python native dictionary (class 'dict').
"""
Configuration.__init__(self, data)