def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute( self.commercial_sqft)) #this is a special case of commercial_sqft_within_walking_distance, so the unnittest is there #the ln_bounded function is tested in ln_commercial_sqft
def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute( "travel_time_weighted_access_to_employment_hbw_am_drive_alone")) #this is a special case of commercial_sqft_within_walking_distance, so the unnittest is there #the ln_bounded function is tested in ln_commercial_sqft
def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute( self.average_value_per_unit_wwd)) #this is a special case of average_value_per_housing_unit_within_walking_distance, so the unnittest is there #the ln_bounded function is tested in ln_commercial_sqft
def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute( self.number_of_jobs_of_sector)) #this is a special case of sector_DDD_jobs_in_faz, so the unnittest is there #the ln_bounded function is tested in ln_commercial_sqft
def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute(self.variable_name)) #this is a special case of commercial_sqft_within_walking_distance, so the unnittest is there #the ln_bounded function is tested in ln_commercial_sqft
def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute(self.work_access_to_employment))
def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute(self.work_access_to_population))
def compute(self, dataset_pool): res_fraction = self.get_dataset().get_attribute("fraction_residential_land") return ln_bounded(res_fraction/(1-res_fraction))
def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute(self.home_access_to_employment))
def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute(self.average_land_value_per_acre_wwd))
def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute(self.total_improvement_value))
def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute('number_of_jobs'))
def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute(self.industrial_sqft)) #the ln_bounded function is tested in ln_commercial_sqft
def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute("travel_time_weighted_access_to_employment_hbw_am_drive_alone")) #this is a special case of commercial_sqft_within_walking_distance, so the unnittest is there #the ln_bounded function is tested in ln_commercial_sqft
def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute(self.inc))
def compute(self, dataset_pool): res_fraction = self.get_dataset().get_attribute( "fraction_residential_land") return ln_bounded(res_fraction / (1 - res_fraction))
def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute(self.number_of_jobs_of_sector)) #this is a special case of sector_DDD_jobs_in_faz, so the unnittest is there #the ln_bounded function is tested in ln_commercial_sqft
def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute(self.average_land_value_per_acre_wwd)) #this is a special case of average_land_value_per_acre_within_walking_distance, so the unnittest is there #the ln_bounded function is tested in ln_commercial_sqft
def compute(self, dataset_pool): ru = self.get_dataset().get_attribute(self.residential_units) return ln_bounded(self.get_dataset().get_attribute(self.residential_improvement_value) / ma.masked_where(ru==0.0, ru.astype(float32)))
def compute(self, dataset_pool): return ln_bounded( self.get_dataset().get_attribute( self.total_residential_value_per_residential_unit_within_walking_distance ) )
def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute(self.distance_to_highway)) #the ln_bounded function is tested in ln_commercial_sqft
def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute(self.industrial_sqft_wwd))
def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute(self.commercial_sqft))
def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute( self.same_sector_jobs_in_faz))
def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute( self.home_access_to_population))
def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute( self.commercial_sqft))
def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute(self.residential_units_wwd))
def compute(self, resources): return ln_bounded(resources["dataset"].get_attribute(self.nonresidential_improvement_value)) #this is a special case of nonresidential_improvement_value, so the unnittest is there #the ln_bounded function is tested in ln_commercial_sqft
def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute( self.retail_sector_employment_within_walking_distance))
def compute(self, dataset_pool): ru = self.get_dataset().get_attribute(self.residential_units) return ln_bounded(self.get_dataset().get_attribute( self.residential_improvement_value) / ma.masked_where(ru == 0.0, ru.astype(float32)))
def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute(self.total_value)) #this is a special case of total_value, so the unnittest is there #the ln_bounded function is tested in ln_commercial_sqft
def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute(self.residential_units)) #the ln_bounded function is tested in ln_commercial_sqft
def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute(self.same_sector_jobs_in_faz))
def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute(self.total_land_value)) #this is a special case of total_land_value, so the unnittest is there #the ln_bounded function is tested in ln_commercial_sqft
def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute(self.service_sector_employment_within_walking_distance))
def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute(self.residential_units_within_walking_distance))
def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute(self.total_nonresidential_sqft_wwd)) #this is a special case of total_nonresidential_sqft_within_walking_distance, so the unnittest is there #the ln_bounded function is tested in ln_commercial_sqft
def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute( self.industrial_sqft)) #the ln_bounded function is tested in ln_commercial_sqft
def compute(self, dataset_pool): return ln_bounded(self.get_dataset().get_attribute( self.residential_units)) #the ln_bounded function is tested in ln_commercial_sqft