build.134 log20091106121551Lbuild.134.xml 11/06/2009 12:15:51 cc-psrc build.134 Cache directory for run 1 set to /tmp/opus_tmpEv4VI6/run_1.2009_11_06_12_17 Invoking: /projects/urbansim/third-party/bin/python /projects/urbansim10/urbbuild/cruisecontrol/sandbox/opus_integration/source/urbansim/model_coordinators/cache_scenario_database.py -r /tmp/tmppSy9mb/resources.pickle Logging to file: /tmp/opus_tmpEv4VI6/run_1.2009_11_06_12_17/run_multiprocess.log Running simulation for years 2001 thru 2004 Root seed: 0 Running UrbanSim for year 2001 in new process: started on Fri Nov 6 12:25:45 2009 Closing log file: /tmp/opus_tmpEv4VI6/run_1.2009_11_06_12_17/run_multiprocess.log Invoking: /projects/urbansim/third-party/bin/python /projects/urbansim10/urbbuild/cruisecontrol/sandbox/opus_integration/source/urbansim/model_coordinators/model_system.py -r /tmp/tmpG4-xzP/resources.pickle --log-file-name run_multiprocess.log Running UrbanSim for year 2001 in new process: completed................24.6 sec Running UrbanSim for year 2002 in new process: started on Fri Nov 6 12:26:10 2009 Closing log file: /tmp/opus_tmpEv4VI6/run_1.2009_11_06_12_17/run_multiprocess.log Invoking: /projects/urbansim/third-party/bin/python /projects/urbansim10/urbbuild/cruisecontrol/sandbox/opus_integration/source/urbansim/model_coordinators/model_system.py -r /tmp/tmpWXN5AB/resources.pickle --log-file-name run_multiprocess.log Running UrbanSim for year 2002 in new process: completed................29.7 sec Running UrbanSim for year 2003 in new process: started on Fri Nov 6 12:26:39 2009 Closing log file: /tmp/opus_tmpEv4VI6/run_1.2009_11_06_12_17/run_multiprocess.log Invoking: /projects/urbansim/third-party/bin/python /projects/urbansim10/urbbuild/cruisecontrol/sandbox/opus_integration/source/urbansim/model_coordinators/model_system.py -r /tmp/tmpVHO3fp/resources.pickle --log-file-name run_multiprocess.log Running UrbanSim for year 2003 in new process: completed................34.6 sec Running UrbanSim for year 2004 in new process: started on Fri Nov 6 12:27:14 2009 Closing log file: /tmp/opus_tmpEv4VI6/run_1.2009_11_06_12_17/run_multiprocess.log Invoking: /projects/urbansim/third-party/bin/python /projects/urbansim10/urbbuild/cruisecontrol/sandbox/opus_integration/source/urbansim/model_coordinators/model_system.py -r /tmp/tmpSI-6wL/resources.pickle --log-file-name run_multiprocess.log Running UrbanSim for year 2004 in new process: completed................37.4 sec Done running simulation for years 2001 thru 2004 Closing log file: /tmp/opus_tmpEv4VI6/run_1.2009_11_06_12_17/run_multiprocess.log /projects/urbansim/third-party/bin/python /projects/urbansim10/urbbuild/cruisecontrol/sandbox/opus_integration/source/opus_core/tools/delete_run.py --run-id=1 --years-to-delete=[2001,2002] --services_database=services_test /projects/urbansim/third-party/bin/python /projects/urbansim10/urbbuild/cruisecontrol/sandbox/opus_integration/source/opus_core/tools/delete_run.py --run-id=1 --years-to-delete=2003 --services_database=services_test /projects/urbansim/third-party/bin/python /projects/urbansim10/urbbuild/cruisecontrol/sandbox/opus_integration/source/opus_core/tools/delete_run.py --run-id=1 --years-to-delete=1997 --services_database=services_test /projects/urbansim/third-party/bin/python /projects/urbansim10/urbbuild/cruisecontrol/sandbox/opus_integration/source/opus_core/tools/delete_run.py --run-id=1 --services_database=services_test Exporting dataset zones: started on Fri Nov 6 12:27:59 2009 /tmp/opus_tmp_test_indicators_QsN3D/1000/zones doesn't exist and is created Exporting dataset zones: completed.......................................0.0 sec Exporting dataset large_areas: started on Fri Nov 6 12:27:59 2009 /tmp/opus_tmp_test_indicators_QsN3D/1000/large_areas doesn't exist and is created Exporting dataset large_areas: completed.................................0.0 sec Exporting dataset fazes: started on Fri Nov 6 12:27:59 2009 /tmp/opus_tmp_test_indicators_QsN3D/1000/fazes doesn't exist and is created Exporting dataset fazes: completed.......................................0.0 sec Exporting dataset gridcells: started on Fri Nov 6 12:27:59 2009 /tmp/opus_tmp_test_indicators_QsN3D/1000/gridcells doesn't exist and is created Exporting dataset gridcells: completed...................................0.0 sec Exporting dataset urbansim_constants: started on Fri Nov 6 12:27:59 2009 /tmp/opus_tmp_test_indicators_QsN3D/1000/urbansim_constants doesn't exist and is created Exporting dataset urbansim_constants: completed..........................0.0 sec Logging to file: /tmp/opus_tmp_test_indicators_QsN3D/indicators.log ============================= BEGIN 2009_11_06_12_27 ============================= psrc.large_area.average_land_value_for_plan_type_group_SSS urbansim.gridcell.total_land_value_if_in_plan_type_group_SSS.........0.0 sec total_residential_land_value = large_area.aggregate(gridcell.total_land_value_if_in_plan_type_group_residential, intermediates=[zone, faz]) faz.aggregate(gridcell.total_land_value_if_in_plan_type_group_residential,intermediates=[zone]) zone.aggregate(gridcell.total_land_value_if_in_plan_type_group_residential)....0.0 sec faz.aggregate(gridcell.total_land_value_if_in_plan_type_group_residential,intermediates=[zone]): completed...0.1 sec total_residential_land_value = large_area.aggregate(gridcell.total_land_value_if_in_plan_type_group_residential, intermediates=[zone, faz]): completed...0.1 sec number_of_residential_gridcells = large_area.aggregate(gridcell.is_in_plan_type_group_residential, intermediates=[zone, faz]) faz.aggregate(gridcell.is_in_plan_type_group_residential,intermediates=[zone]) zone.aggregate(gridcell.is_in_plan_type_group_residential)...0.0 sec faz.aggregate(gridcell.is_in_plan_type_group_residential,intermediates=[zone]): completed...0.0 sec number_of_residential_gridcells = large_area.aggregate(gridcell.is_in_plan_type_group_residential, intermediates=[zone, faz]): completed...0.0 sec psrc.large_area.average_land_value_for_plan_type_group_SSS: completed....0.3 sec ============================== END 2009_11_06_12_28 ============================== Closing log file: /tmp/opus_tmp_test_indicators_QsN3D/indicators.log Cache directory for run 1 set to /tmp/opus_tmptjfkAX/run_1.2009_11_06_12_28 Invoking: /projects/urbansim/third-party/bin/python /projects/urbansim10/urbbuild/cruisecontrol/sandbox/opus_integration/source/urbansim/model_coordinators/cache_scenario_database.py -r /tmp/tmpzcA_MO/resources.pickle Logging to file: /tmp/opus_tmptjfkAX/run_1.2009_11_06_12_28/run_multiprocess.log Running simulation for years 2001 thru 2002 Root seed: 0 Running UrbanSim for year 2001 in new process: started on Fri Nov 6 12:35:45 2009 Closing log file: /tmp/opus_tmptjfkAX/run_1.2009_11_06_12_28/run_multiprocess.log Invoking: /projects/urbansim/third-party/bin/python /projects/urbansim10/urbbuild/cruisecontrol/sandbox/opus_integration/source/urbansim/model_coordinators/model_system.py -r /tmp/tmp_yKWaB/resources.pickle --log-file-name run_multiprocess.log Running UrbanSim for year 2001 in new process: completed................25.4 sec Running UrbanSim for year 2002 in new process: started on Fri Nov 6 12:36:10 2009 Closing log file: /tmp/opus_tmptjfkAX/run_1.2009_11_06_12_28/run_multiprocess.log Invoking: /projects/urbansim/third-party/bin/python /projects/urbansim10/urbbuild/cruisecontrol/sandbox/opus_integration/source/urbansim/model_coordinators/model_system.py -r /tmp/tmp2lHwu8/resources.pickle --log-file-name run_multiprocess.log Running UrbanSim for year 2002 in new process: completed................29.9 sec Done running simulation for years 2001 thru 2002 Removing cache directory: /tmp/opus_tmptjfkAX/run_1.2009_11_06_12_28/2001 Removing cache directory: /tmp/opus_tmptjfkAX/run_1.2009_11_06_12_28/2002 Logging to file: /tmp/opus_tmptjfkAX/run_1.2009_11_06_12_28/run_multiprocess.log Running simulation for years 2001 thru 2002 Root seed: 0 Running UrbanSim for year 2001 in new process: started on Fri Nov 6 12:36:41 2009 Closing log file: /tmp/opus_tmptjfkAX/run_1.2009_11_06_12_28/run_multiprocess.log Invoking: /projects/urbansim/third-party/bin/python /projects/urbansim10/urbbuild/cruisecontrol/sandbox/opus_integration/source/urbansim/model_coordinators/model_system.py -r /tmp/tmpdm4M4X/resources.pickle --log-file-name run_multiprocess.log Running UrbanSim for year 2001 in new process: completed................24.8 sec Running UrbanSim for year 2002 in new process: started on Fri Nov 6 12:37:05 2009 Closing log file: /tmp/opus_tmptjfkAX/run_1.2009_11_06_12_28/run_multiprocess.log Invoking: /projects/urbansim/third-party/bin/python /projects/urbansim10/urbbuild/cruisecontrol/sandbox/opus_integration/source/urbansim/model_coordinators/model_system.py -r /tmp/tmptVVBQL/resources.pickle --log-file-name run_multiprocess.log Running UrbanSim for year 2002 in new process: completed................30.9 sec Done running simulation for years 2001 thru 2002 Logging to file: /tmp/opus_tmptjfkAX/run_1.2009_11_06_12_28/run_multiprocess.log Running simulation for years 2002 thru 2002 Root seed: 0 Done running simulation for years 2002 thru 2002 Closing log file: /tmp/opus_tmptjfkAX/run_1.2009_11_06_12_28/run_multiprocess.log Closing log file: /tmp/opus_tmptjfkAX/run_1.2009_11_06_12_28/run_multiprocess.log Closing log file: /tmp/opus_tmptjfkAX/run_1.2009_11_06_12_28/run_multiprocess.log Invoking: /projects/urbansim/third-party/bin/python /projects/urbansim10/urbbuild/cruisecontrol/sandbox/opus_integration/source/urbansim/model_coordinators/cache_scenario_database.py -r /tmp/tmpLNa16z/resources.pickle Simulation on database PSRC_2000_baseyear_fircrest: started on Fri Nov 6 12:45:19 2009 Cache Directory set to: /tmp/opus_core_tmpsom6Ou/09_11_06_12_37_37 Start simulation run: started on Fri Nov 6 12:45:19 2009 random seed = (1,) Starting simulation for year 2001: started on Fri Nov 6 12:45:19 2009 Closing log file: /tmp/opus_core_tmpsom6Ou/09_11_06_12_37_37/run_model_system.log Logging to file: /tmp/opus_core_tmpsom6Ou/09_11_06_12_37_37/year_2001_log.txt Simulate year 2001: started on Fri Nov 6 12:45:19 2009 Creating object urbansim.datasets.vacant_land_and_building_type_dataset.VacantLandAndBuildingTypeDataset Creating object urbansim.datasets.development_constraint_dataset.DevelopmentConstraintDataset Creating object urbansim.datasets.zone_dataset.ZoneDataset Creating object urbansim.datasets.household_dataset.HouseholdDataset Creating object urbansim.datasets.gridcell_dataset.GridcellDataset Creating object urbansim.datasets.job_dataset.JobDataset Creating object urbansim.datasets.target_vacancy_dataset.TargetVacancyDataset Creating object urbansim.datasets.job_building_type_dataset.JobBuildingTypeDataset Creating object urbansim.datasets.development_event_history_dataset.DevelopmentEventHistoryDataset Running ProcessPrescheduledDevelopmentEvents (from urbansim.models.process_prescheduled_development_events): started on Fri Nov 6 12:45:20 2009 Creating object urbansim.datasets.development_event_dataset.DevelopmentEventDataset Running ProcessPrescheduledDevelopmentEvents (from urbansim.models.process_prescheduled_development_events): completed...0.0 sec Flushing gridcell /tmp/opus_core_tmpsom6Ou/09_11_06_12_37_37/2001/gridcells doesn't exist and is created Flushing household /tmp/opus_core_tmpsom6Ou/09_11_06_12_37_37/2001/households doesn't exist and is created Flushing job /tmp/opus_core_tmpsom6Ou/09_11_06_12_37_37/2001/jobs doesn't exist and is created Running events_coordinator (from urbansim.models.events_coordinator_and_storing): started on Fri Nov 6 12:45:33 2009 /tmp/opus_core_tmpsom6Ou/09_11_06_12_37_37/2001/development_events doesn't exist and is created Running events_coordinator (from urbansim.models.events_coordinator_and_storing): completed...1.4 sec Flushing gridcell Flushing household Flushing job Running Residential Land Share Model (from urbansim.models.residential_land_share_model): started on Fri Nov 6 12:45:35 2009 Total number of individuals: 0 Nothing to be done. Running Residential Land Share Model (from urbansim.models.residential_land_share_model): completed...0.0 sec Flushing gridcell Flushing household Flushing job Running Land Price Model (from urbansim.models.corrected_land_price_model): started on Fri Nov 6 12:45:35 2009 urbansim.gridcell.is_in_development_type_group_SSS...0.3 sec Total number of individuals: 150 LPM chunk 1 out of 1.: started on Fri Nov 6 12:45:36 2009 Number of agents in this chunk: 150 Compute variables ... LNE30MDA = ln(gridcell.disaggregate(psrc.zone.employment_within_30_minutes_travel_time_hbw_am_drive_alone)) psrc.zone.employment_within_DDD_minutes_travel_time_hbw_am_drive_alone Creating object urbansim.datasets.travel_data_dataset.TravelDataDataset urbansim.zone.number_of_jobs urbansim.job.zone_id job.disaggregate(gridcell.zone_id)....0.0 sec urbansim.job.zone_id: completed......0.2 sec urbansim.zone.number_of_jobs: completed...0.3 sec psrc.zone.employment_within_DDD_minutes_travel_time_hbw_am_drive_alone: completed...0.7 sec LNE30MDA = ln(gridcell.disaggregate(psrc.zone.employment_within_30_minutes_travel_time_hbw_am_drive_alone)): completed...0.7 sec LNE30MTW = ln(gridcell.disaggregate(psrc.zone.employment_within_30_minutes_travel_time_hbw_am_transit_walk)) psrc.zone.employment_within_DDD_minutes_travel_time_hbw_am_transit_walk....0.1 sec LNE30MTW = ln(gridcell.disaggregate(psrc.zone.employment_within_30_minutes_travel_time_hbw_am_transit_walk)): completed...0.1 sec gc_cbd = gridcell.disaggregate(psrc.zone.generalized_cost_hbw_am_drive_alone_to_129) psrc.zone.generalized_cost_hbw_am_drive_alone_to_DDD destination_id=129+0*zone.zone_id........0.0 sec WARNING: zone pairs at index (array([0, 1, 2]),) are not in travel data; value set to 999. psrc.zone.generalized_cost_hbw_am_drive_alone_to_DDD: completed...0.1 sec gc_cbd = gridcell.disaggregate(psrc.zone.generalized_cost_hbw_am_drive_alone_to_129): completed...0.1 sec ln(urbansim.gridcell.average_income_within_walking_distance) urbansim.gridcell.average_income_within_walking_distance urbansim.gridcell.sum_income_within_walking_distance urbansim.gridcell.sum_income.........0.2 sec urbansim.gridcell.sum_income_within_walking_distance: completed...0.4 sec urbansim.gridcell.number_of_households_within_walking_distance urbansim.gridcell.number_of_households....0.0 sec urbansim.gridcell.number_of_households_within_walking_distance: completed...0.0 sec urbansim.gridcell.average_income_within_walking_distance: completed...0.4 sec ln(urbansim.gridcell.average_income_within_walking_distance): completed...0.4 sec urbansim.gridcell.building_age urbansim.gridcell.building_age_masked urbansim.gridcell.has_valid_year_built...0.0 sec urbansim.gridcell.building_age_masked: completed...0.1 sec urbansim.gridcell.average_building_age_within_walking_distance urbansim.gridcell.sum_SSS_within_walking_distance....0.0 sec urbansim.gridcell.average_building_age_within_walking_distance: completed...0.1 sec urbansim.gridcell.building_age: completed........0.2 sec urbansim.gridcell.is_near_arterial...............0.1 sec urbansim.gridcell.is_near_highway................0.1 sec urbansim.gridcell.ln_basic_sector_employment_within_walking_distance urbansim.gridcell.SSS_sector_employment_within_walking_distance urbansim.gridcell.number_of_jobs_of_group_SSS urbansim.job.is_in_employment_sector_group_SSS....0.5 sec urbansim.gridcell.number_of_jobs_of_group_SSS: completed...0.6 sec urbansim.gridcell.SSS_sector_employment_within_walking_distance: completed...0.7 sec urbansim.gridcell.ln_basic_sector_employment_within_walking_distance: completed...0.7 sec urbansim.gridcell.ln_residential_units_within_walking_distance urbansim.gridcell.residential_units_within_walking_distance....0.1 sec urbansim.gridcell.ln_residential_units_within_walking_distance: completed...0.1 sec urbansim.gridcell.ln_retail_sector_employment_within_walking_distance urbansim.gridcell.SSS_sector_employment_within_walking_distance urbansim.gridcell.number_of_jobs_of_group_SSS urbansim.job.is_in_employment_sector_group_SSS....0.0 sec urbansim.gridcell.number_of_jobs_of_group_SSS: completed...0.0 sec urbansim.gridcell.SSS_sector_employment_within_walking_distance: completed...0.0 sec urbansim.gridcell.ln_retail_sector_employment_within_walking_distance: completed...0.1 sec urbansim.gridcell.ln_service_sector_employment_within_walking_distance urbansim.gridcell.SSS_sector_employment_within_walking_distance urbansim.gridcell.number_of_jobs_of_group_SSS urbansim.job.is_in_employment_sector_group_SSS....0.0 sec urbansim.gridcell.number_of_jobs_of_group_SSS: completed...0.0 sec urbansim.gridcell.SSS_sector_employment_within_walking_distance: completed...0.0 sec urbansim.gridcell.ln_service_sector_employment_within_walking_distance: completed...0.0 sec urbansim.gridcell.percent_SSS_within_walking_distance urbansim.gridcell.number_of_development_type_group_SSS_within_walking_distance urbansim.gridcell.is_in_development_type_group_SSS....0.0 sec urbansim.gridcell.number_of_development_type_group_SSS_within_walking_distance: completed...0.0 sec urbansim.gridcell.percent_SSS_within_walking_distance: completed...0.0 sec urbansim.gridcell.percent_developed_within_walking_distance urbansim.gridcell.number_of_developed_within_walking_distance urbansim.gridcell.is_developed urbansim.gridcell.has_DDD_industrial_sqft....0.2 sec urbansim.gridcell.has_DDD_commercial_sqft....0.1 sec urbansim.gridcell.has_DDD_governmental_sqft....0.1 sec urbansim.gridcell.has_DDD_units......0.0 sec urbansim.gridcell.is_developed: completed...0.5 sec urbansim.gridcell.number_of_developed_within_walking_distance: completed...0.5 sec urbansim.gridcell.percent_developed_within_walking_distance: completed...0.5 sec urbansim.gridcell.percent_SSS_within_walking_distance urbansim.gridcell.number_of_development_type_group_SSS_within_walking_distance urbansim.gridcell.is_in_development_type_group_SSS....0.0 sec urbansim.gridcell.number_of_development_type_group_SSS_within_walking_distance: completed...0.0 sec urbansim.gridcell.percent_SSS_within_walking_distance: completed...0.0 sec urbansim.gridcell.percent_SSS_within_walking_distance urbansim.gridcell.number_of_development_type_group_SSS_within_walking_distance urbansim.gridcell.is_in_development_type_group_SSS....0.0 sec urbansim.gridcell.number_of_development_type_group_SSS_within_walking_distance: completed...0.0 sec urbansim.gridcell.percent_SSS_within_walking_distance: completed...0.0 sec Compute regression for submodel 1 Compute regression for submodel 2 Compute regression for submodel 3 Compute regression for submodel 4 Compute regression for submodel 5 Compute regression for submodel 6 Compute regression for submodel 7 Compute regression for submodel 8 Compute regression for submodel 9 Compute regression for submodel 10 Compute regression for submodel 11 Compute regression for submodel 12 Compute regression for submodel 13 Compute regression for submodel 14 Compute regression for submodel 15 Compute regression for submodel 16 Compute regression for submodel 17 Compute regression for submodel 18 Compute regression for submodel 19 Compute regression for submodel 20 Compute regression for submodel 21 Compute regression for submodel 22 Compute regression for submodel 23 Compute regression for submodel 24 LPM chunk 1 out of 1.: completed.....................3.7 sec Running Land Price Model (from urbansim.models.corrected_land_price_model): completed...4.6 sec Flushing gridcell Flushing household Flushing job Running Development Project Transition Model (from urbansim.models.development_project_transition_model): started on Fri Nov 6 12:45:40 2009 urbansim.gridcell.vacant_residential_units urbansim.gridcell.number_of_households...........0.2 sec WARNING: Negative values detected in function/method 'vacant_residential_units' WARNING: Minimum: -2. Negative values clipped to zero. urbansim.gridcell.vacant_residential_units: completed...0.2 sec urbansim.gridcell.vacant_industrial_sqft urbansim.gridcell.sqft_of_industrial_jobs urbansim.gridcell.number_of_industrial_jobs urbansim.job.is_industrial urbansim.job.is_building_type_SSS....0.1 sec urbansim.job.is_industrial: completed....0.1 sec urbansim.gridcell.number_of_industrial_jobs: completed...0.2 sec urbansim.gridcell.sqft_of_industrial_jobs: completed...0.3 sec urbansim.gridcell.vacant_industrial_sqft: completed...0.3 sec urbansim.gridcell.vacant_commercial_sqft urbansim.gridcell.sqft_of_commercial_jobs urbansim.gridcell.number_of_commercial_jobs urbansim.job.is_commercial urbansim.job.is_building_type_SSS....0.0 sec urbansim.job.is_commercial: completed....0.0 sec urbansim.gridcell.number_of_commercial_jobs: completed...0.0 sec urbansim.gridcell.sqft_of_commercial_jobs: completed...0.1 sec urbansim.gridcell.vacant_commercial_sqft: completed...0.1 sec residential: vacant units: 71, should be vacant: 132.450002, sum units: 2649 urbansim.development_project.size_category...........0.0 sec industrial: vacant units: 12400, should be vacant: 13640.000203, sum units: 136400 urbansim.development_project.size_category...........0.0 sec commercial: vacant units: 52650, should be vacant: 57915.000863, sum units: 579150 urbansim.development_project.size_category...........0.0 sec Running Development Project Transition Model (from urbansim.models.development_project_transition_model): completed...2.2 sec Flushing gridcell Flushing household Flushing job Running Development Project residential Location Choice Model (from urbansim.models.development_project_location_choice_model): started on Fri Nov 6 12:45:43 2009 project size: 63 Total number of individuals: 51 res DPLCM chunk 1 out of 1.: started on Fri Nov 6 12:45:43 2009 Number of agents in this chunk: 51 urbansim.gridcell.is_developable_for_residential_units urbansim.gridcell.developable_maximum_residential_units urbansim.gridcell.total_maximum_development_SSS urbansim.gridcell.is_in_development_type_group_SSS....0.1 sec urbansim.gridcell.is_in_stream_buffer....0.1 sec urbansim.gridcell.is_in_floodplain...0.1 sec urbansim.gridcell.is_in_wetland......0.1 sec urbansim.gridcell.is_on_steep_slope..0.1 sec urbansim.gridcell.total_maximum_development_SSS: completed...1.3 sec urbansim.gridcell.developable_maximum_residential_units: completed...1.4 sec urbansim.gridcell.is_developable_for_residential_units: completed...1.4 sec Available capacity: 10.0 units. Choice set size: 30 urbansim.gridcell.developable_minimum_residential_units....0.0 sec shape of weight_array: (51, 10) WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (10) in source_array than the sample_size (30). Use probsample_replace. Create specified coefficients ... Compute variables ... LNE40MTW = ln(gridcell.disaggregate(psrc.zone.employment_within_40_minutes_travel_time_hbw_am_transit_walk)) psrc.zone.employment_within_DDD_minutes_travel_time_hbw_am_transit_walk....0.0 sec LNE40MTW = ln(gridcell.disaggregate(psrc.zone.employment_within_40_minutes_travel_time_hbw_am_transit_walk)): completed...0.2 sec ln_bounded(urbansim.gridcell.average_income_within_walking_distance) urbansim.gridcell.average_income_within_walking_distance urbansim.gridcell.sum_income_within_walking_distance urbansim.gridcell.sum_income.........0.2 sec urbansim.gridcell.sum_income_within_walking_distance: completed...0.4 sec urbansim.gridcell.number_of_households_within_walking_distance urbansim.gridcell.number_of_households....0.0 sec urbansim.gridcell.number_of_households_within_walking_distance: completed...0.0 sec urbansim.gridcell.average_income_within_walking_distance: completed...0.4 sec ln_bounded(urbansim.gridcell.average_income_within_walking_distance): completed...0.4 sec urbansim.gridcell.building_age urbansim.gridcell.building_age_masked urbansim.gridcell.has_valid_year_built...0.0 sec urbansim.gridcell.building_age_masked: completed...0.1 sec urbansim.gridcell.average_building_age_within_walking_distance urbansim.gridcell.sum_SSS_within_walking_distance....0.0 sec urbansim.gridcell.average_building_age_within_walking_distance: completed...0.1 sec urbansim.gridcell.building_age: completed........0.2 sec urbansim.gridcell.ln_average_land_value_per_acre_within_walking_distance urbansim.gridcell.average_land_value_per_acre_within_walking_distance urbansim.gridcell.total_land_value_within_walking_distance urbansim.gridcell.total_land_value...0.3 sec urbansim.gridcell.total_land_value_within_walking_distance: completed...0.3 sec urbansim.gridcell.acres_within_walking_distance urbansim.gridcell.acres_of_land......0.1 sec urbansim.gridcell.acres_within_walking_distance: completed...0.1 sec urbansim.gridcell.average_land_value_per_acre_within_walking_distance: completed...0.4 sec urbansim.gridcell.ln_average_land_value_per_acre_within_walking_distance: completed...0.4 sec urbansim.gridcell.ln_developable_residential_units_capacity urbansim.gridcell.developable_residential_units_capacity....0.0 sec urbansim.gridcell.ln_developable_residential_units_capacity: completed...0.0 sec urbansim.gridcell.ln_developable_residential_units_capacity_within_walking_distance urbansim.gridcell.developable_residential_units_capacity_within_walking_distance....0.0 sec urbansim.gridcell.ln_developable_residential_units_capacity_within_walking_distance: completed...0.0 sec urbansim.gridcell.ln_residential_units...........0.0 sec urbansim.gridcell.ln_residential_units_within_walking_distance urbansim.gridcell.residential_units_within_walking_distance....0.0 sec urbansim.gridcell.ln_residential_units_within_walking_distance: completed...0.0 sec urbansim.gridcell.ln_total_employment_within_walking_distance urbansim.gridcell.total_employment_within_walking_distance urbansim.gridcell.number_of_jobs.........0.1 sec urbansim.gridcell.total_employment_within_walking_distance: completed...0.1 sec urbansim.gridcell.ln_total_employment_within_walking_distance: completed...0.1 sec urbansim.gridcell.ln_total_land_value............0.0 sec urbansim.gridcell.percent_developed_within_walking_distance urbansim.gridcell.number_of_developed_within_walking_distance urbansim.gridcell.is_developed urbansim.gridcell.has_DDD_industrial_sqft....0.2 sec urbansim.gridcell.has_DDD_commercial_sqft....0.1 sec urbansim.gridcell.has_DDD_governmental_sqft....0.1 sec urbansim.gridcell.has_DDD_units......0.0 sec urbansim.gridcell.is_developed: completed...0.4 sec urbansim.gridcell.number_of_developed_within_walking_distance: completed...0.4 sec urbansim.gridcell.percent_developed_within_walking_distance: completed...0.4 sec urbansim.gridcell.percent_SSS_within_walking_distance urbansim.gridcell.number_of_development_type_group_SSS_within_walking_distance urbansim.gridcell.is_in_development_type_group_SSS....0.0 sec urbansim.gridcell.number_of_development_type_group_SSS_within_walking_distance: completed...0.0 sec urbansim.gridcell.percent_SSS_within_walking_distance: completed...0.0 sec Simulate ... Number of unplaced agents: 31 (in 3 iterations) Number of unplaced agents: 0 (in 3 iterations) Number of unplaced agents: 0 (in 2 iterations) res DPLCM chunk 1 out of 1.: completed...............3.7 sec Running Development Project residential Location Choice Model (from urbansim.models.development_project_location_choice_model): completed...3.7 sec Flushing gridcell Flushing household Flushing job Running Development Project commercial Location Choice Model (from urbansim.models.development_project_location_choice_model): started on Fri Nov 6 12:45:47 2009 project size: 7394 Total number of individuals: 1 com DPLCM chunk 1 out of 1.: started on Fri Nov 6 12:45:47 2009 Number of agents in this chunk: 1 urbansim.gridcell.is_developable_for_commercial_sqft urbansim.gridcell.developable_maximum_commercial_sqft urbansim.gridcell.total_maximum_development_SSS urbansim.gridcell.is_in_development_type_group_SSS....0.1 sec urbansim.gridcell.total_maximum_development_SSS: completed...0.1 sec urbansim.gridcell.developable_maximum_commercial_sqft: completed...0.3 sec urbansim.gridcell.is_developable_for_commercial_sqft: completed...0.3 sec Available capacity: 16.0 units. Choice set size: 30 urbansim.gridcell.developable_minimum_commercial_sqft....0.0 sec shape of weight_array: (1, 16) WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (11) in source_array than the sample_size (30). Use probsample_replace. Create specified coefficients ... Compute variables ... LNE30MDA = ln(gridcell.disaggregate(psrc.zone.employment_within_30_minutes_travel_time_hbw_am_drive_alone))....0.1 sec LNE30MTW = ln(gridcell.disaggregate(psrc.zone.employment_within_30_minutes_travel_time_hbw_am_transit_walk))....0.0 sec gridcell.disaggregate(psrc.zone.generalized_cost_hbw_am_drive_alone_to_129)....0.0 sec ln_bounded(urbansim.gridcell.average_income_within_walking_distance) urbansim.gridcell.average_income_within_walking_distance urbansim.gridcell.sum_income_within_walking_distance urbansim.gridcell.sum_income.........0.2 sec urbansim.gridcell.sum_income_within_walking_distance: completed...0.4 sec urbansim.gridcell.number_of_households_within_walking_distance urbansim.gridcell.number_of_households....0.0 sec urbansim.gridcell.number_of_households_within_walking_distance: completed...0.0 sec urbansim.gridcell.average_income_within_walking_distance: completed...0.4 sec ln_bounded(urbansim.gridcell.average_income_within_walking_distance): completed...0.4 sec urbansim.gridcell.is_near_arterial...............0.1 sec urbansim.gridcell.is_near_highway................0.3 sec urbansim.gridcell.ln_average_land_value_per_acre_within_walking_distance urbansim.gridcell.average_land_value_per_acre_within_walking_distance urbansim.gridcell.total_land_value_within_walking_distance urbansim.gridcell.total_land_value...0.3 sec urbansim.gridcell.total_land_value_within_walking_distance: completed...0.3 sec urbansim.gridcell.acres_within_walking_distance urbansim.gridcell.acres_of_land......0.2 sec urbansim.gridcell.acres_within_walking_distance: completed...0.2 sec urbansim.gridcell.average_land_value_per_acre_within_walking_distance: completed...0.4 sec urbansim.gridcell.ln_average_land_value_per_acre_within_walking_distance: completed...0.4 sec urbansim.gridcell.ln_basic_sector_employment_within_walking_distance urbansim.gridcell.SSS_sector_employment_within_walking_distance urbansim.gridcell.number_of_jobs_of_group_SSS urbansim.job.is_in_employment_sector_group_SSS....0.2 sec urbansim.gridcell.number_of_jobs_of_group_SSS: completed...0.4 sec urbansim.gridcell.SSS_sector_employment_within_walking_distance: completed...0.4 sec urbansim.gridcell.ln_basic_sector_employment_within_walking_distance: completed...0.4 sec urbansim.gridcell.ln_commercial_sqft.............0.0 sec urbansim.gridcell.ln_commercial_sqft_within_walking_distance urbansim.gridcell.commercial_sqft_within_walking_distance....0.0 sec urbansim.gridcell.ln_commercial_sqft_within_walking_distance: completed...0.0 sec urbansim.gridcell.ln_residential_units...........0.1 sec urbansim.gridcell.ln_residential_units_within_walking_distance urbansim.gridcell.residential_units_within_walking_distance....0.0 sec urbansim.gridcell.ln_residential_units_within_walking_distance: completed...0.0 sec urbansim.gridcell.ln_retail_sector_employment_within_walking_distance urbansim.gridcell.SSS_sector_employment_within_walking_distance urbansim.gridcell.number_of_jobs_of_group_SSS urbansim.job.is_in_employment_sector_group_SSS....0.0 sec urbansim.gridcell.number_of_jobs_of_group_SSS: completed...0.0 sec urbansim.gridcell.SSS_sector_employment_within_walking_distance: completed...0.0 sec urbansim.gridcell.ln_retail_sector_employment_within_walking_distance: completed...0.1 sec urbansim.gridcell.ln_service_sector_employment_within_walking_distance urbansim.gridcell.SSS_sector_employment_within_walking_distance urbansim.gridcell.number_of_jobs_of_group_SSS urbansim.job.is_in_employment_sector_group_SSS....0.0 sec urbansim.gridcell.number_of_jobs_of_group_SSS: completed...0.0 sec urbansim.gridcell.SSS_sector_employment_within_walking_distance: completed...0.0 sec urbansim.gridcell.ln_service_sector_employment_within_walking_distance: completed...0.0 sec urbansim.gridcell.ln_total_land_value............0.0 sec urbansim.gridcell.n_SSS_recently_added_within_walking_distance urbansim.gridcell.n_SSS_recently_added opus_core.variables.VVV_lagLLL Creating object urbansim.datasets.gridcell_dataset.GridcellDataset Creating object urbansim.datasets.gridcell_dataset.GridcellDataset opus_core.variables.VVV_lagLLL: completed...0.1 sec urbansim.gridcell.n_SSS_recently_added: completed...0.2 sec urbansim.gridcell.n_SSS_recently_added_within_walking_distance: completed...0.2 sec urbansim.gridcell.percent_SSS_within_walking_distance urbansim.gridcell.number_of_development_type_group_SSS_within_walking_distance urbansim.gridcell.is_in_development_type_group_SSS....0.0 sec urbansim.gridcell.number_of_development_type_group_SSS_within_walking_distance: completed...0.0 sec urbansim.gridcell.percent_SSS_within_walking_distance: completed...0.0 sec urbansim.gridcell.percent_developed_within_walking_distance urbansim.gridcell.number_of_developed_within_walking_distance urbansim.gridcell.is_developed urbansim.gridcell.has_DDD_industrial_sqft....0.1 sec urbansim.gridcell.has_DDD_commercial_sqft....0.0 sec urbansim.gridcell.has_DDD_governmental_sqft....0.1 sec urbansim.gridcell.has_DDD_units......0.0 sec urbansim.gridcell.is_developed: completed...0.3 sec urbansim.gridcell.number_of_developed_within_walking_distance: completed...0.3 sec urbansim.gridcell.percent_developed_within_walking_distance: completed...0.3 sec urbansim.gridcell.sum_SSS_within_walking_distance urbansim.gridcell.n_recent_development_projects opus_core.variables.VVV_lagLLL Creating object urbansim.datasets.gridcell_dataset.GridcellDataset Creating object urbansim.datasets.gridcell_dataset.GridcellDataset opus_core.variables.VVV_lagLLL: completed...0.2 sec opus_core.variables.VVV_lagLLL Creating object urbansim.datasets.gridcell_dataset.GridcellDataset Creating object urbansim.datasets.gridcell_dataset.GridcellDataset opus_core.variables.VVV_lagLLL: completed...0.4 sec opus_core.variables.VVV_lagLLL Creating object urbansim.datasets.gridcell_dataset.GridcellDataset Creating object urbansim.datasets.gridcell_dataset.GridcellDataset opus_core.variables.VVV_lagLLL: completed...0.2 sec opus_core.variables.VVV_lagLLL Creating object urbansim.datasets.gridcell_dataset.GridcellDataset Creating object urbansim.datasets.gridcell_dataset.GridcellDataset opus_core.variables.VVV_lagLLL: completed...0.4 sec opus_core.variables.VVV_lagLLL Creating object urbansim.datasets.gridcell_dataset.GridcellDataset Creating object urbansim.datasets.gridcell_dataset.GridcellDataset opus_core.variables.VVV_lagLLL: completed...0.2 sec opus_core.variables.VVV_lagLLL Creating object urbansim.datasets.gridcell_dataset.GridcellDataset Creating object urbansim.datasets.gridcell_dataset.GridcellDataset opus_core.variables.VVV_lagLLL: completed...0.4 sec opus_core.variables.VVV_lagLLL Creating object urbansim.datasets.gridcell_dataset.GridcellDataset Creating object urbansim.datasets.gridcell_dataset.GridcellDataset opus_core.variables.VVV_lagLLL: completed...0.2 sec opus_core.variables.VVV_lagLLL Creating object urbansim.datasets.gridcell_dataset.GridcellDataset Creating object urbansim.datasets.gridcell_dataset.GridcellDataset opus_core.variables.VVV_lagLLL: completed...0.5 sec opus_core.variables.VVV_lagLLL Creating object urbansim.datasets.gridcell_dataset.GridcellDataset Creating object urbansim.datasets.gridcell_dataset.GridcellDataset opus_core.variables.VVV_lagLLL: completed...0.2 sec opus_core.variables.VVV_lagLLL Creating object urbansim.datasets.gridcell_dataset.GridcellDataset Creating object urbansim.datasets.gridcell_dataset.GridcellDataset opus_core.variables.VVV_lagLLL: completed...0.3 sec opus_core.variables.VVV_lagLLL Creating object urbansim.datasets.gridcell_dataset.GridcellDataset Creating object urbansim.datasets.gridcell_dataset.GridcellDataset opus_core.variables.VVV_lagLLL: completed...0.2 sec opus_core.variables.VVV_lagLLL Creating object urbansim.datasets.gridcell_dataset.GridcellDataset Creating object urbansim.datasets.gridcell_dataset.GridcellDataset opus_core.variables.VVV_lagLLL: completed...0.2 sec opus_core.variables.VVV_lagLLL Creating object urbansim.datasets.gridcell_dataset.GridcellDataset Creating object urbansim.datasets.gridcell_dataset.GridcellDataset opus_core.variables.VVV_lagLLL: completed...0.1 sec opus_core.variables.VVV_lagLLL Creating object urbansim.datasets.gridcell_dataset.GridcellDataset Creating object urbansim.datasets.gridcell_dataset.GridcellDataset opus_core.variables.VVV_lagLLL: completed...0.1 sec opus_core.variables.VVV_lagLLL Creating object urbansim.datasets.gridcell_dataset.GridcellDataset Creating object urbansim.datasets.gridcell_dataset.GridcellDataset opus_core.variables.VVV_lagLLL: completed...0.1 sec urbansim.gridcell.n_recent_development_projects: completed...3.8 sec urbansim.gridcell.sum_SSS_within_walking_distance: completed...3.8 sec Simulate ... Number of unplaced agents: 0 (in 1 iterations) com DPLCM chunk 1 out of 1.: completed...............7.1 sec Running Development Project commercial Location Choice Model (from urbansim.models.development_project_location_choice_model): completed...7.1 sec Flushing gridcell Flushing household Flushing job Running Development Project industrial Location Choice Model (from urbansim.models.development_project_location_choice_model): started on Fri Nov 6 12:45:54 2009 project size: 1328 Total number of individuals: 9 ind DPLCM chunk 1 out of 1.: started on Fri Nov 6 12:45:54 2009 Number of agents in this chunk: 9 urbansim.gridcell.is_developable_for_industrial_sqft urbansim.gridcell.developable_maximum_industrial_sqft urbansim.gridcell.total_maximum_development_SSS urbansim.gridcell.is_in_development_type_group_SSS....0.1 sec urbansim.gridcell.total_maximum_development_SSS: completed...0.1 sec urbansim.gridcell.developable_maximum_industrial_sqft: completed...0.3 sec urbansim.gridcell.is_developable_for_industrial_sqft: completed...0.3 sec Available capacity: 17.0 units. Choice set size: 30 urbansim.gridcell.developable_minimum_industrial_sqft....0.0 sec shape of weight_array: (9, 17) WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (17) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (17) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (17) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (17) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (17) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (17) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (17) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (17) in source_array than the sample_size (30). Use probsample_replace. WARNING: weight array dosen't have enough non-zero counts, use sample with replacement WARNING: There are less or equal indices (17) in source_array than the sample_size (30). Use probsample_replace. Create specified coefficients ... Compute variables ... gridcell.disaggregate(psrc.zone.generalized_cost_hbw_am_drive_alone_to_129)....0.1 sec ln(urbansim.gridcell.average_income_within_walking_distance) urbansim.gridcell.average_income_within_walking_distance urbansim.gridcell.sum_income_within_walking_distance urbansim.gridcell.sum_income.........0.2 sec urbansim.gridcell.sum_income_within_walking_distance: completed...0.4 sec urbansim.gridcell.number_of_households_within_walking_distance urbansim.gridcell.number_of_households....0.0 sec urbansim.gridcell.number_of_households_within_walking_distance: completed...0.0 sec urbansim.gridcell.average_income_within_walking_distance: completed...0.4 sec ln(urbansim.gridcell.average_income_within_walking_distance): completed...0.5 sec urbansim.gridcell.is_near_arterial...............0.1 sec urbansim.gridcell.is_near_highway................0.1 sec urbansim.gridcell.ln_average_land_value_per_acre_within_walking_distance urbansim.gridcell.average_land_value_per_acre_within_walking_distance urbansim.gridcell.total_land_value_within_walking_distance urbansim.gridcell.total_land_value...0.3 sec urbansim.gridcell.total_land_value_within_walking_distance: completed...0.3 sec urbansim.gridcell.acres_within_walking_distance urbansim.gridcell.acres_of_land......0.1 sec urbansim.gridcell.acres_within_walking_distance: completed...0.1 sec urbansim.gridcell.average_land_value_per_acre_within_walking_distance: completed...0.4 sec urbansim.gridcell.ln_average_land_value_per_acre_within_walking_distance: completed...0.4 sec urbansim.gridcell.ln_basic_sector_employment_within_walking_distance urbansim.gridcell.SSS_sector_employment_within_walking_distance urbansim.gridcell.number_of_jobs_of_group_SSS urbansim.job.is_in_employment_sector_group_SSS....0.1 sec urbansim.gridcell.number_of_jobs_of_group_SSS: completed...0.3 sec urbansim.gridcell.SSS_sector_employment_within_walking_distance: completed...0.3 sec urbansim.gridcell.ln_basic_sector_employment_within_walking_distance: completed...0.3 sec urbansim.gridcell.ln_industrial_sqft.............0.0 sec urbansim.gridcell.ln_industrial_sqft_within_walking_distance urbansim.gridcell.industrial_sqft_within_walking_distance....0.0 sec urbansim.gridcell.ln_industrial_sqft_within_walking_distance: completed...0.0 sec urbansim.gridcell.ln_retail_sector_employment_within_walking_distance urbansim.gridcell.SSS_sector_employment_within_walking_distance urbansim.gridcell.number_of_jobs_of_group_SSS urbansim.job.is_in_employment_sector_group_SSS....0.0 sec urbansim.gridcell.number_of_jobs_of_group_SSS: completed...0.0 sec urbansim.gridcell.SSS_sector_employment_within_walking_distance: completed...0.0 sec urbansim.gridcell.ln_retail_sector_employment_within_walking_distance: completed...0.0 sec urbansim.gridcell.ln_service_sector_employment_within_walking_distance urbansim.gridcell.SSS_sector_employment_within_walking_distance urbansim.gridcell.number_of_jobs_of_group_SSS urbansim.job.is_in_employment_sector_group_SSS....0.0 sec urbansim.gridcell.number_of_jobs_of_group_SSS: completed...0.0 sec urbansim.gridcell.SSS_sector_employment_within_walking_distance: completed...0.0 sec urbansim.gridcell.ln_service_sector_employment_within_walking_distance: completed...0.0 sec urbansim.gridcell.ln_total_land_value............0.0 sec urbansim.gridcell.percent_developed_within_walking_distance urbansim.gridcell.number_of_developed_within_walking_distance urbansim.gridcell.is_developed urbansim.gridcell.has_DDD_industrial_sqft....0.0 sec urbansim.gridcell.has_DDD_commercial_sqft....0.1 sec urbansim.gridcell.has_DDD_governmental_sqft....0.1 sec urbansim.gridcell.has_DDD_units......0.1 sec urbansim.gridcell.is_developed: completed...0.4 sec urbansim.gridcell.number_of_developed_within_walking_distance: completed...0.4 sec urbansim.gridcell.percent_developed_within_walking_distance: completed...0.4 sec urbansim.gridcell.percent_SSS_within_walking_distance urbansim.gridcell.number_of_development_type_group_SSS_within_walking_distance urbansim.gridcell.is_in_development_type_group_SSS....0.0 sec urbansim.gridcell.number_of_development_type_group_SSS_within_walking_distance: completed...0.0 sec urbansim.gridcell.percent_SSS_within_walking_distance: completed...0.0 sec urbansim.gridcell.sum_SSS_within_walking_distance urbansim.gridcell.n_recent_development_projects....0.0 sec urbansim.gridcell.sum_SSS_within_walking_distance: completed...0.0 sec Simulate ... Number of unplaced agents: 0 (in 3 iterations) ind DPLCM chunk 1 out of 1.: completed...............2.8 sec Running Development Project industrial Location Choice Model (from urbansim.models.development_project_location_choice_model): completed...2.8 sec Flushing gridcell Flushing household Flushing job Running Development Event Transition Model (from urbansim.models.development_event_transition_model): started on Fri Nov 6 12:45:57 2009 Creating object urbansim.datasets.development_event_dataset.DevelopmentEventDataset Number of events: 14 Running Development Event Transition Model (from urbansim.models.development_event_transition_model): completed...0.0 sec Flushing gridcell Flushing household Flushing job Running events_coordinator (from urbansim.models.events_coordinator_and_storing): started on Fri Nov 6 12:45:57 2009 Processing residential_units: 14 add events, 0 delete events, 0 replace events. Processing industrial_sqft: 14 add events, 0 delete events, 0 replace events. Processing commercial_sqft: 14 add events, 0 delete events, 0 replace events. urbansim.gridcell.non_residential_sqft...............0.0 sec urbansim.development_type.is_in_development_type_group_SSS....0.0 sec urbansim.development_type.is_in_development_type_group_SSS....0.0 sec urbansim.development_type.is_in_development_type_group_SSS....0.0 sec urbansim.development_type.is_in_development_type_group_SSS....0.0 sec urbansim.development_type.is_in_development_type_group_SSS....0.0 sec /tmp/opus_core_tmpsom6Ou/09_11_06_12_37_37/2001/development_events.computed doesn't exist and is created Running events_coordinator (from urbansim.models.events_coordinator_and_storing): completed...1.8 sec Flushing gridcell Flushing household Flushing job Running Residential Land Share Model (from urbansim.models.residential_land_share_model): started on Fri Nov 6 12:46:00 2009 Total number of individuals: 14 RLSM chunk 1 out of 1.: started on Fri Nov 6 12:46:00 2009 Number of agents in this chunk: 14 Compute variables ... psrc.gridcell.travel_time_hbw_am_drive_alone_to_cbd psrc.gridcell.travel_time_hbw_am_drive_alone_to_DDD psrc.zone.travel_time_hbw_am_drive_alone_to_DDD WARNING: zone pairs at index (array([0, 1, 2]),) are not in travel data; value set to 999. psrc.zone.travel_time_hbw_am_drive_alone_to_DDD: completed...0.0 sec psrc.gridcell.travel_time_hbw_am_drive_alone_to_DDD: completed...0.2 sec psrc.gridcell.travel_time_hbw_am_drive_alone_to_cbd: completed...0.2 sec psrc.gridcell.travel_time_hbw_am_drive_alone_to_cbd**2....0.0 sec urbansim.gridcell.is_near_highway................0.1 sec urbansim.gridcell.ln_residential_units...........0.1 sec urbansim.gridcell.ln_residential_units_within_walking_distance urbansim.gridcell.residential_units_within_walking_distance....0.3 sec urbansim.gridcell.ln_residential_units_within_walking_distance: completed...0.3 sec urbansim.gridcell.percent_low_income_households_within_walking_distance urbansim.gridcell.number_of_low_income_households_within_walking_distance urbansim.gridcell.number_of_low_income_households urbansim.household.is_low_income.....0.1 sec urbansim.gridcell.number_of_low_income_households: completed...0.2 sec urbansim.gridcell.number_of_low_income_households_within_walking_distance: completed...0.2 sec urbansim.gridcell.number_of_households_within_walking_distance urbansim.gridcell.number_of_households...0.0 sec urbansim.gridcell.number_of_households_within_walking_distance: completed...0.0 sec urbansim.gridcell.percent_low_income_households_within_walking_distance: completed...0.2 sec urbansim.gridcell.percent_open_space_within_walking_distance urbansim.gridcell.acres_open_space_within_walking_distance urbansim.gridcell.acres_of_open_space....0.1 sec urbansim.gridcell.acres_open_space_within_walking_distance: completed...0.1 sec urbansim.gridcell.percent_open_space_within_walking_distance: completed...0.1 sec Compute regression for submodel -2 RLSM chunk 1 out of 1.: completed....................1.3 sec Running Residential Land Share Model (from urbansim.models.residential_land_share_model): completed...1.6 sec Flushing gridcell Flushing household Flushing job Creating object urbansim.datasets.household_characteristic_dataset.HouseholdCharacteristicDataset Running Household Transition Model (from urbansim.models.household_transition_model): started on Fri Nov 6 12:46:01 2009 Difference in number of households: -15 (original 2595, new 2580, created 263, deleted 278) Number of unplaced households: 263 Running Household Transition Model (from urbansim.models.household_transition_model): completed...1.2 sec Flushing gridcell Flushing household Flushing job Running Employment Transition Model (from urbansim.models.employment_transition_model): started on Fri Nov 6 12:46:03 2009 urbansim.job.is_in_employment_sector_DDD_home_based urbansim.job.is_in_employment_sector_DDD.........0.0 sec urbansim.job.is_home_based_job...................0.1 sec urbansim.job.is_in_employment_sector_DDD_home_based: completed...0.2 sec urbansim.job.is_in_employment_sector_DDD_home_based urbansim.job.is_in_employment_sector_DDD.........0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based: completed...0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based urbansim.job.is_in_employment_sector_DDD.........0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based: completed...0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based urbansim.job.is_in_employment_sector_DDD.........0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based: completed...0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based urbansim.job.is_in_employment_sector_DDD.........0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based: completed...0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based urbansim.job.is_in_employment_sector_DDD.........0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based: completed...0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based urbansim.job.is_in_employment_sector_DDD.........0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based: completed...0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based urbansim.job.is_in_employment_sector_DDD.........0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based: completed...0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based urbansim.job.is_in_employment_sector_DDD.........0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based: completed...0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based urbansim.job.is_in_employment_sector_DDD.........0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based: completed...0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based urbansim.job.is_in_employment_sector_DDD.........0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based: completed...0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based urbansim.job.is_in_employment_sector_DDD.........0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based: completed...0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based urbansim.job.is_in_employment_sector_DDD.........0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based: completed...0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based urbansim.job.is_in_employment_sector_DDD.........0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based: completed...0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based urbansim.job.is_in_employment_sector_DDD.........0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based: completed...0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based urbansim.job.is_in_employment_sector_DDD.........0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based: completed...0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based urbansim.job.is_in_employment_sector_DDD.........0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based: completed...0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based urbansim.job.is_in_employment_sector_DDD.........0.0 sec urbansim.job.is_in_employment_sector_DDD_home_based: completed...0.0 sec urbansim.job.is_in_employment_sector_DDD_non_home_based urbansim.job.is_non_home_based_job...............0.0 sec urbansim.job.is_in_employment_sector_DDD_non_home_based: completed...0.0 sec urbansim.job.is_in_employment_sector_DDD_non_home_based....0.0 sec urbansim.job.is_in_employment_sector_DDD_non_home_based....0.0 sec urbansim.job.is_in_employment_sector_DDD_non_home_based....0.0 sec urbansim.job.is_in_employment_sector_DDD_non_home_based....0.0 sec urbansim.job.is_in_employment_sector_DDD_non_home_based....0.0 sec urbansim.job.is_in_employment_sector_DDD_non_home_based....0.0 sec urbansim.job.is_in_employment_sector_DDD_non_home_based....0.0 sec urbansim.job.is_in_employment_sector_DDD_non_home_based....0.0 sec urbansim.job.is_in_employment_sector_DDD_non_home_based....0.0 sec urbansim.job.is_in_employment_sector_DDD_non_home_based....0.0 sec urbansim.job.is_in_employment_sector_DDD_non_home_based....0.0 sec urbansim.job.is_in_employment_sector_DDD_non_home_based....0.0 sec urbansim.job.is_in_employment_sector_DDD_non_home_based....0.0 sec urbansim.job.is_in_employment_sector_DDD_non_home_based....0.0 sec urbansim.job.is_in_employment_sector_DDD_non_home_based....0.0 sec urbansim.job.is_in_employment_sector_DDD_non_home_based....0.0 sec urbansim.job.is_in_employment_sector_DDD_non_home_based....0.0 sec Difference in number of jobs: -15 (original 1393, new 1378, created 515, deleted 530) Number of unplaced jobs: 515 Running Employment Transition Model (from urbansim.models.employment_transition_model): completed...1.2 sec Flushing gridcell Flushing household Flushing job Creating object urbansim.datasets.household_relocation_rate_dataset.HouseholdRelocationRateDataset Running Household Relocation Model (from urbansim.models.agent_relocation_model): started on Fri Nov 6 12:46:04 2009 compute_probabilities ... compute_choices ... Number of movers: 689 Running Household Relocation Model (from urbansim.models.agent_relocation_model): completed...0.5 sec Flushing gridcell Flushing household Flushing job Running Household Location Choice Model (from urbansim.models.household_location_choice_model): started on Fri Nov 6 12:46:05 2009 Total number of individuals: 689 HLCM chunk 1 out of 12.: started on Fri Nov 6 12:46:05 2009 Number of agents in this chunk: 58 urbansim.gridcell.vacant_residential_units urbansim.gridcell.number_of_households.......0.1 sec WARNING: Negative values detected in function/method 'vacant_residential_units' WARNING: Minimum: -1. Negative values clipped to zero. urbansim.gridcell.vacant_residential_units: completed...0.3 sec Available capacity: 410 units. Choice set size: 30 Create specified coefficients ... Compute variables ... LNE20MDA = ln(gridcell.disaggregate(psrc.zone.employment_within_20_minutes_travel_time_hbw_am_drive_alone)) psrc.zone.employment_within_DDD_minutes_travel_time_hbw_am_drive_alone urbansim.zone.number_of_jobs urbansim.job.zone_id job.disaggregate(gridcell.zone_id)....0.0 sec urbansim.job.zone_id: completed......0.2 sec urbansim.zone.number_of_jobs: completed...0.2 sec psrc.zone.employment_within_DDD_minutes_travel_time_hbw_am_drive_alone: completed...0.2 sec LNE20MDA = ln(gridcell.disaggregate(psrc.zone.employment_within_20_minutes_travel_time_hbw_am_drive_alone)): completed...0.2 sec LNE40MTW = ln(gridcell.disaggregate(psrc.zone.employment_within_40_minutes_travel_time_hbw_am_transit_walk)) psrc.zone.employment_within_DDD_minutes_travel_time_hbw_am_transit_walk....0.0 sec LNE40MTW = ln(gridcell.disaggregate(psrc.zone.employment_within_40_minutes_travel_time_hbw_am_transit_walk)): completed...0.0 sec gridcell.disaggregate(psrc.zone.generalized_cost_hbw_am_drive_alone_to_129)....0.0 sec psrc.household_x_gridcell.ln_retail_sector_employment_within_walking_distance_if_has_less_cars_than_workers urbansim.household.has_less_cars_than_workers....0.2 sec urbansim.gridcell.ln_retail_sector_employment_within_walking_distance urbansim.gridcell.SSS_sector_employment_within_walking_distance urbansim.gridcell.number_of_jobs_of_group_SSS urbansim.job.is_in_employment_sector_group_SSS....0.1 sec urbansim.gridcell.number_of_jobs_of_group_SSS: completed...0.2 sec urbansim.gridcell.SSS_sector_employment_within_walking_distance: completed...0.5 sec urbansim.gridcell.ln_retail_sector_employment_within_walking_distance: completed...0.6 sec psrc.household_x_gridcell.ln_retail_sector_employment_within_walking_distance_if_has_less_cars_than_workers: completed...0.8 sec urbansim.gridcell.ln_residential_units...........0.0 sec urbansim.gridcell.ln_service_sector_employment_within_walking_distance urbansim.gridcell.SSS_sector_employment_within_walking_distance urbansim.gridcell.number_of_jobs_of_group_SSS urbansim.job.is_in_employment_sector_group_SSS....0.0 sec urbansim.gridcell.number_of_jobs_of_group_SSS: completed...0.0 sec urbansim.gridcell.SSS_sector_employment_within_walking_distance: completed...0.0 sec urbansim.gridcell.ln_service_sector_employment_within_walking_distance: completed...0.0 sec urbansim.gridcell.percent_SSS_within_walking_distance urbansim.gridcell.number_of_development_type_group_SSS_within_walking_distance urbansim.gridcell.is_in_development_type_group_SSS....0.1 sec urbansim.gridcell.number_of_development_type_group_SSS_within_walking_distance: completed...0.1 sec urbansim.gridcell.percent_SSS_within_walking_distance: completed...0.1 sec urbansim.household_x_gridcell.cost_to_income_ratio urbansim.gridcell.total_annual_rent urbansim.gridcell.total_residential_value....0.3 sec urbansim.gridcell.total_annual_rent: completed...0.3 sec urbansim.household_x_gridcell.cost_to_income_ratio: completed...0.4 sec urbansim.household_x_gridcell.percent_high_income_households_within_walking_distance_if_high_income urbansim.gridcell.percent_high_income_households_within_walking_distance urbansim.gridcell.number_of_high_income_households_within_walking_distance urbansim.gridcell.number_of_high_income_households urbansim.household.is_high_income....0.0 sec urbansim.gridcell.number_of_high_income_households: completed...0.0 sec urbansim.gridcell.number_of_high_income_households_within_walking_distance: completed...0.0 sec urbansim.gridcell.number_of_households_within_walking_distance....0.0 sec urbansim.gridcell.percent_high_income_households_within_walking_distance: completed...0.0 sec urbansim.household_x_gridcell.percent_high_income_households_within_walking_distance_if_high_income: completed...0.0 sec urbansim.household_x_gridcell.percent_low_income_households_within_walking_distance_if_low_income urbansim.gridcell.percent_low_income_households_within_walking_distance urbansim.gridcell.number_of_low_income_households_within_walking_distance urbansim.gridcell.number_of_low_income_households urbansim.household.is_low_income....0.0 sec urbansim.gridcell.numb