def dependencies(self):
return [
my_attribute_label(self.number_of_industrial_jobs),
my_attribute_label(self.industrial_sqft_within_walking_distance),
my_attribute_label(self.number_of_industrial_jobs_wwd),
my_attribute_label(self.industrial_sqft)
]
def dependencies(self):
return [
my_attribute_label(self.number_of_industrial_jobs),
my_attribute_label(self.industrial_sqft_within_walking_distance),
my_attribute_label(self.number_of_industrial_jobs_wwd),
my_attribute_label(self.industrial_sqft),
]
def dependencies(self):
return [
my_attribute_label(
self.number_of_home_owners_within_walking_distance),
my_attribute_label(
self.number_of_households_within_walking_distance)
]
def dependencies(self):
return [
my_attribute_label(self.has_0_industrial_sqft),
my_attribute_label(self.has_0_commercial_sqft),
my_attribute_label(self.has_0_governmental_sqft),
my_attribute_label(self.has_0_residential_units)
]
def dependencies(self):
deps = [my_attribute_label("x_coord_sp"),
my_attribute_label("y_coord_sp"),
self.quantity
]
if self.filter is not None:
deps.append(self.filter)
return deps
def dependencies(self):
return [
"_units_proposed_in_proposal = development_project_proposal_component.disaggregate(urbansim_parcel.development_project_proposal.units_proposed)",
"_is_far_unit = development_project_proposal_component.disaggregate(urbansim_parcel.development_template.is_far)",
my_attribute_label("percent_building_sqft"),
my_attribute_label("building_sqft_per_unit"),
my_attribute_label("is_residential")
]
def dependencies(self):
return [
attribute_label("employment_sector_group", "group_id"),
attribute_label("employment_sector_group", self.gr_name),
my_attribute_label(self.sector_id),
attribute_label("employment_sector", "sector_id")
]
def dependencies(self):
return [
attribute_label("job", self.job_is_in_employment_sector_group),
attribute_label("job", "is_home_based_job"),
attribute_label("job", "grid_id"),
my_attribute_label("grid_id")
]
def dependencies(self):
return [
my_attribute_label(
self.
total_residential_value_per_residential_unit_within_walking_distance
)
]
def dependencies(self):
return [
my_attribute_label("household_id"),
attribute_label("person", "work_nonhome_based"),
"psrc.person.work_place_zone_id",
attribute_label("person", "household_id"),
]
def dependencies(self):
return [
attribute_label("development_group", "group_id"),
attribute_label("development_group", self.gr_name),
my_attribute_label(self.development_type_id),
attribute_label("development_type", "development_type_id"),
]
def dependencies(self):
return [
my_attribute_label(self.number_of_buildings),
attribute_label("building", self.building_age),
attribute_label("building", self.is_building_type),
attribute_label("building", "grid_id")
]
def dependencies(self):
return [
attribute_label("gridcell", "region_id"),
attribute_label("gridcell",
"percent_open_space_within_walking_distance"),
my_attribute_label("region_id")
]
def dependencies(self):
return [
attribute_label("development_group", "group_id"),
attribute_label("development_group", self.gr_name),
my_attribute_label(self.development_type_id),
attribute_label("development_type", "development_type_id")
]
def dependencies(self):
return [
attribute_label("gridcell", "number_of_jobs"),
attribute_label("gridcell", "acres_of_land"),
attribute_label("gridcell", "faz_id"),
my_attribute_label("faz_id")
]
def dependencies(self):
return [
my_attribute_label("units_proposed"),
"velocity_functions = velocity_function.annual_construction_schedule",
"minimum_units = velocity_function.minimum_units",
"maximum_units = velocity_function.maximum_units"
]
def dependencies(self):
return [
attribute_label("gridcell", "region_id"),
attribute_label("gridcell", "population"),
attribute_label("gridcell", "is_outside_urban_growth_boundary"),
my_attribute_label("region_id")
]
def dependencies(self):
return [
my_attribute_label("units_proposed"),
"velocity_functions = velocity_function.annual_construction_schedule",
"minimum_units = velocity_function.minimum_units",
"maximum_units = velocity_function.maximum_units"
]
def dependencies(self):
return [
attribute_label("job", self.job_is_in_employment_sector_group),
attribute_label("job", "job_id"),
attribute_label("job", "grid_id"),
my_attribute_label("grid_id"),
]
def dependencies(self):
return [
attribute_label("plan_type_group", "group_id"),
attribute_label("plan_type_group", "name"),
attribute_label("plan_type", "plan_type_id"),
my_attribute_label("plan_type_id")
]
def dependencies(self):
return [
my_attribute_label(self.number_of_industrial_jobs),
"%s = zone.aggregate(gridcell.industrial_sqft, function=sum)" %
self.industrial_sqft,
"%s = zone.aggregate(gridcell.industrial_sqft_per_job, function=mean)"
% self.sqft
]
def dependencies(self):
return [attribute_label("gridcell", 'is_in_plan_type_group_%s' % self.group),
attribute_label("gridcell", 'is_in_plan_type_group_%s' % self.group),
attribute_label("gridcell", 'total_land_value_if_in_plan_type_group_%s' % self.group),
"total_%s_land_value = large_area.aggregate(gridcell.total_land_value_if_in_plan_type_group_%s, intermediates=[zone, faz])" % (self.group,self.group),
"number_of_%s_gridcells = large_area.aggregate(gridcell.is_in_plan_type_group_%s, intermediates=[zone, faz])" % (self.group, self.group),
my_attribute_label("large_area_id")]
def dependencies(self):
return [attribute_label("gridcell", 'is_in_plan_type_group_%s' % self.group),
attribute_label("gridcell", 'is_in_plan_type_group_%s' % self.group),
attribute_label("gridcell", 'total_land_value_if_in_plan_type_group_%s' % self.group),
"total_%s_land_value = large_area.aggregate(gridcell.total_land_value_if_in_plan_type_group_%s, intermediates=[zone, faz])" % (self.group,self.group),
"number_of_%s_gridcells = large_area.aggregate(gridcell.is_in_plan_type_group_%s, intermediates=[zone, faz])" % (self.group, self.group),
my_attribute_label("large_area_id")]
def compute(self, dataset_pool):
bt = dataset_pool.get_dataset('building_type')
ds = self.get_dataset()
idx = bt.get_attribute("name") == self.type
units_name = bt.get_attribute("units")[idx][0]
dependent_variable = my_attribute_label("developable_maximum_%s" % units_name)
if dependent_variable not in self.dependencies():
ds.compute_variables([dependent_variable])
self.add_dependencies([dependent_variable])
return clip_to_zero_if_needed(ds.get_attribute(dependent_variable), "developable_%s_capacity" % self.type)
def compute(self, dataset_pool):
zones = self.get_dataset()
is_in_cbd = zones.get_attribute('bellevue_cbd')
zones_in_cbd = zones.get_id_attribute()[where(is_in_cbd)]
min_values = array(zones.size()*[2**30], dtype=self._return_type)
for zone_id in zones_in_cbd:
variable_name = my_attribute_label("generalized_cost_hbw_am_drive_alone_to_%s" % zone_id)
self.add_and_solve_dependencies([variable_name], dataset_pool=dataset_pool)
min_values = minimum(min_values, zones.get_attribute(variable_name))
min_within_cbd = min_values[where(is_in_cbd)].min()
min_values[where(is_in_cbd)] = min_within_cbd
return min_values
def compute(self, dataset_pool):
bt = dataset_pool.get_dataset('building_type')
ds = self.get_dataset()
idx = bt.get_attribute("name") == self.type
units_name = bt.get_attribute("units")[idx][0]
dependent_variable = my_attribute_label("developable_maximum_%s" %
units_name)
if dependent_variable not in self.dependencies():
ds.compute_variables([dependent_variable])
self.add_dependencies([dependent_variable])
return clip_to_zero_if_needed(ds.get_attribute(dependent_variable),
"developable_%s_capacity" % self.type)
def compute(self, dataset_pool):
zones = self.get_dataset()
is_in_cbd = zones.get_attribute('bellevue_cbd')
zones_in_cbd = zones.get_id_attribute()[where(is_in_cbd)]
min_values = array(zones.size() * [2**30], dtype=self._return_type)
for zone_id in zones_in_cbd:
variable_name = my_attribute_label(
"generalized_cost_hbw_am_drive_alone_to_%s" % zone_id)
self.add_and_solve_dependencies([variable_name],
dataset_pool=dataset_pool)
min_values = minimum(min_values,
zones.get_attribute(variable_name))
min_within_cbd = min_values[where(is_in_cbd)].min()
min_values[where(is_in_cbd)] = min_within_cbd
return min_values
def dependencies(self):
return [my_attribute_label(self.number_of_low_income_households_within_walking_distance),
my_attribute_label(self.number_of_households_within_walking_distance)]
def dependencies(self):
return [my_attribute_label("job_id"),
"person.job_id", "person.person_id"]
def dependencies(self):
return [my_attribute_label("zone_id"),
attribute_label("zone", self.zn_ln_access_to_workplaces_from_residences)]
def dependencies(self):
return [
my_attribute_label("faz_id"),
attribute_label("faz", "large_area_id")
]
def dependencies(self):
return [my_attribute_label('number_of_surveyed_households')]
def dependencies(self):
#resource and construction sectors are hard-coded as sector 1 and 2
return ["urbansim.zone." + self.variable_name,
my_attribute_label("baseline_%s" % self.variable_name)]
def dependencies(self):
return [my_attribute_label(self.number_of_households), my_attribute_label(self.low_income)]
def dependencies(self):
return [my_attribute_label("zone_id"), "psrc.zone." + self.variable_name]
def dependencies(self):
return [my_attribute_label('household_id'),
'psrc.household.grid_id']
def dependencies(self):
return [my_attribute_label("zone_id"), \
"psrc.zone.trip_weighted_average_generalized_cost_hbw_to_work_am_drive_alone"]
def dependencies(self):
return [attribute_label("gridcell", "zone_id"),
my_attribute_label("zone_id")]
def dependencies(self):
return [
my_attribute_label(self.year_built),
my_attribute_label("has_valid_year_built")
]
def dependencies(self):
return [my_attribute_label(self.same_sector_jobs_in_faz)]
def dependencies(self):
return [my_attribute_label(self.age_of_head)]
def dependencies(self):
return [
my_attribute_label("home_parcel_id"),
my_attribute_label("work_place_parcel_id"),
"transit_accessibility.edge.target",
]
def dependencies(self):
return [my_attribute_label("household_id"),
"psrc.household.parcel_id"]
def dependencies(self):
return [my_attribute_label("is_minority")]
def dependencies(self):
return [
my_attribute_label("x_coord_sp"),
my_attribute_label("y_coord_sp")
]
def dependencies(self):
return [my_attribute_label(self.income)]
def dependencies(self):
return [
attribute_label("land_use_type", "land_use_name"),
my_attribute_label("land_use_type_id")
]
def dependencies(self):
return [my_attribute_label(self.residential_units)]
def dependencies(self):
return [my_attribute_label(self.total_nonresidential_sqft_wwd)]
def dependencies(self):
#resource and construction sectors are hard-coded as sector 1 and 2
return [
"urbansim.faz." + self.variable_name,
my_attribute_label("baseline_%s" % self.variable_name)
]
def dependencies(self):
return [my_attribute_label(self.total_residential_value_per_residential_unit_within_walking_distance)]
def dependencies(self):
return [my_attribute_label("zone_id"), \
"psrc.zone.trip_weighted_average_time_hbw_from_home_am_bike"]
def dependencies(self):
return [my_attribute_label("bususe")]
def dependencies(self):
return [my_attribute_label(self.total_residential_value),
my_attribute_label(self.total_nonresidential_value)]
def dependencies(self):
return [my_attribute_label(self.year_built)]
def dependencies(self):
return [attribute_label("household", self.is_mid_income),
attribute_label("household", "grid_id"),
my_attribute_label("grid_id")]
def dependencies(self):
return [
my_attribute_label("residential_units"),
my_attribute_label(self.condition1),
my_attribute_label(self.condition2),
]
def dependencies(self):
return [my_attribute_label(self.total_improvement_value_within_walking_distance),
my_attribute_label(self.residential_units_within_walking_distance)]
def dependencies(self):
return [
my_attribute_label("grid_id"),
attribute_label("gridcell", "zone_id")
]
def dependencies(self):
return [
attribute_label("job", "grid_id"),
my_attribute_label("grid_id")
]
