| 1 | # --------------------------------------------------------------------------- |
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| 2 | # Carnarvon4distribution.py |
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| 3 | # Created on: Thu Apr 30 2009 03:51:03 PM |
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| 4 | # (generated by ArcGIS/ModelBuilder) |
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| 5 | # --------------------------------------------------------------------------- |
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| 6 | |
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| 7 | # Import system modules |
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| 8 | import sys, string, os, arcgisscripting |
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| 9 | |
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| 10 | # Create the Geoprocessor object |
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| 11 | gp = arcgisscripting.create() |
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| 12 | |
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| 13 | # Check out any necessary licenses |
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| 14 | gp.CheckOutExtension("spatial") |
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| 15 | |
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| 16 | # Load required toolboxes... |
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| 17 | gp.AddToolbox("C:/Program Files/ArcGIS/ArcToolbox/Toolboxes/Spatial Analyst Tools.tbx") |
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| 18 | gp.AddToolbox("C:/Program Files/ArcGIS/ArcToolbox/Toolboxes/Data Management Tools.tbx") |
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| 19 | gp.overwriteoutput = 1 |
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| 20 | |
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| 21 | community = 'Perth' |
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| 22 | output_loc = "\\\\nas2\\gemd\\georisk_models\\inundation\\data\\western_australia\\FESA_outputs_Dec_08\\ARCgrids\\April_2009\\" |
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| 23 | input_scenario = "\\\\nas2\\gemd\\georisk_models\\inundation\\data\\western_australia\\perth_tsunami_scenario\\" |
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| 24 | input_output = input_scenario + "\\anuga\\outputs\\" |
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| 25 | |
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| 26 | locations = ['Fremantle', 'Rockingham', 'Geordie', 'Sorrento'] |
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| 27 | |
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| 28 | in_Tsunami_1_HAT = input_output + "20090324_155028_run_final_0.6_27283_Bt_kvanputt\\raster.gdb\\" |
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| 29 | in_Tsunami_1_MSL = input_output + "20090327_155353_run_final_0_27283_Bt_kvanputt\\raster.gdb\\" |
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| 30 | in_Tsunami_2_HAT = input_output + "20090324_135427_run_final_0.6_27255_Bt_kvanputt\\raster.gdb\\" |
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| 31 | in_Tsunami_2_MSL = input_output + "20090327_155659_run_final_0_27255_Bt_kvanputt\\raster.gdb\\" |
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| 32 | in_Tsunami_3_HAT = input_output + "20090324_154957_run_final_0.6_68693_Bt_kvanputt\\raster.gdb\\" |
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| 33 | in_Tsunami_3_MSL = input_output + "20090327_155803_run_final_0_68693_Bt_kvanputt\\raster.gdb\\" |
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| 34 | |
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| 35 | Tsunami_1_HAT = output_loc + "Tsunami1-Exmouth\\" + community + "_HAT.gdb\\" |
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| 36 | Tsunami_1_MSL = output_loc + "Tsunami1-Exmouth\\" + community + "_MSL.gdb\\" |
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| 37 | Tsunami_2_HAT = output_loc + "Tsunami2-Perth\\" + community + "_HAT.gdb\\" |
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| 38 | Tsunami_2_MSL = output_loc + "Tsunami2-Perth\\" + community + "_MSL.gdb\\" |
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| 39 | Tsunami_3_HAT = output_loc + "Tsunami3-1833\\" + community + "_HAT.gdb\\" |
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| 40 | Tsunami_3_MSL = output_loc + "Tsunami3-1833\\" + community + "_MSL.gdb\\" |
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| 41 | |
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| 42 | hr = community + '_runup' |
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| 43 | |
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| 44 | for location in locations: |
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| 45 | |
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| 46 | # Local variables... |
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| 47 | if location == 'Fremantle': |
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| 48 | # polygon clip |
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| 49 | extent = input_scenario + "map_work\\Perth.gdb\\Internal_Polygons\\CBD_coastal" |
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| 50 | # name of rasters |
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| 51 | depth = 'Fre_dep_M_E' |
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| 52 | speed = 'Fre_spe_M_' |
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| 53 | elif location == 'Rockingham': |
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| 54 | # polygon clip |
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| 55 | extent = input_scenario + "map_work\\Perth.gdb\\Internal_Polygons\\rockingham_penguin" |
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| 56 | # name of rasters |
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| 57 | depth = 'Roc_dep_M_E' |
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| 58 | speed = 'Roc_spe_M_' |
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| 59 | elif location == 'Geordie': |
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| 60 | # polygon clip |
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| 61 | extent = input_scenario + "map_work\\Perth.gdb\\Internal_Polygons\\Geordie_Bay" |
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| 62 | # name of rasters |
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| 63 | depth = 'Geo_dep_M_E' |
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| 64 | speed = 'Geo_spe_M_' |
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| 65 | elif location == 'Sorrento': |
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| 66 | # polygon clip |
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| 67 | extent = input_scenario + "map_work\\Perth.gdb\\Internal_Polygons\\Sorrento_gauge" |
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| 68 | # name of rasters |
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| 69 | depth = 'Sor_dep_M_E' |
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| 70 | speed = 'Sor_spe_M_' |
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| 71 | else: |
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| 72 | print 'No recognisable location entered' |
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| 73 | |
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| 74 | print 'location', location |
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| 75 | print 'extent', extent |
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| 76 | |
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| 77 | # Output locations |
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| 78 | |
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| 79 | hr_1_HAT = Tsunami_1_HAT +"highest_runup" |
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| 80 | hr_1_MSL = Tsunami_1_MSL +"highest_runup" |
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| 81 | hr_2_HAT = Tsunami_2_HAT +"highest_runup" |
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| 82 | hr_2_MSL = Tsunami_2_MSL +"highest_runup" |
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| 83 | hr_3_HAT = Tsunami_3_HAT +"highest_runup" |
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| 84 | hr_3_MSL = Tsunami_3_MSL +"highest_runup" |
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| 85 | |
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| 86 | depth_1_HAT = Tsunami_1_HAT + location + "_depth" |
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| 87 | depth_1_MSL = Tsunami_1_MSL + location + "_depth" |
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| 88 | depth_2_HAT = Tsunami_2_HAT + location + "_depth" |
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| 89 | depth_2_MSL = Tsunami_2_MSL + location + "_depth" |
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| 90 | depth_3_HAT = Tsunami_3_HAT + location + "_depth" |
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| 91 | depth_3_MSL = Tsunami_3_MSL + location + "_depth" |
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| 92 | |
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| 93 | speed_1_HAT = Tsunami_1_HAT + location + "_speed" |
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| 94 | speed_1_MSL = Tsunami_1_MSL + location + "_speed" |
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| 95 | speed_2_HAT = Tsunami_2_HAT + location + "_speed" |
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| 96 | speed_2_MSL = Tsunami_2_MSL + location + "_speed" |
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| 97 | speed_3_HAT = Tsunami_3_HAT + location + "_speed" |
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| 98 | speed_3_MSL = Tsunami_3_MSL + location + "_speed" |
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| 99 | |
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| 100 | |
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| 101 | # Input locations |
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| 102 | |
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| 103 | in_depth_1_HAT = in_Tsunami_1_HAT + depth |
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| 104 | in_depth_1_MSL = in_Tsunami_1_MSL + depth |
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| 105 | in_depth_2_HAT = in_Tsunami_2_HAT + depth |
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| 106 | in_depth_2_MSL = in_Tsunami_2_MSL + depth |
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| 107 | in_depth_3_HAT = in_Tsunami_3_HAT + depth |
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| 108 | in_depth_3_MSL = in_Tsunami_3_MSL + depth |
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| 109 | |
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| 110 | in_speed_1_HAT = in_Tsunami_1_HAT + speed |
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| 111 | in_speed_1_MSL = in_Tsunami_1_MSL + speed |
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| 112 | in_speed_2_HAT = in_Tsunami_2_HAT + speed |
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| 113 | in_speed_2_MSL = in_Tsunami_2_MSL + speed |
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| 114 | in_speed_3_HAT = in_Tsunami_3_HAT + speed |
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| 115 | in_speed_3_MSL = in_Tsunami_3_MSL + speed |
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| 116 | |
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| 117 | in_hr_1_HAT = in_Tsunami_1_HAT + hr |
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| 118 | in_hr_1_MSL = in_Tsunami_1_MSL + hr |
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| 119 | in_hr_2_HAT = in_Tsunami_2_HAT + hr |
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| 120 | in_hr_2_MSL = in_Tsunami_2_MSL + hr |
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| 121 | in_hr_3_HAT = in_Tsunami_3_HAT + hr |
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| 122 | in_hr_3_MSL = in_Tsunami_3_MSL + hr |
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| 123 | |
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| 124 | |
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| 125 | # Process: Extract by Mask |
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| 126 | print 'Extract by mask for depth' |
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| 127 | gp.ExtractByMask_sa(in_depth_1_HAT, extent, depth_1_HAT) |
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| 128 | gp.ExtractByMask_sa(in_depth_1_MSL, extent, depth_1_MSL) |
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| 129 | gp.ExtractByMask_sa(in_depth_2_HAT, extent, depth_2_HAT) |
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| 130 | gp.ExtractByMask_sa(in_depth_2_MSL, extent, depth_2_MSL) |
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| 131 | gp.ExtractByMask_sa(in_depth_3_HAT, extent, depth_3_HAT) |
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| 132 | gp.ExtractByMask_sa(in_depth_3_MSL, extent, depth_3_MSL) |
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| 133 | |
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| 134 | print 'Extract by mask for speed' |
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| 135 | gp.ExtractByMask_sa(in_speed_1_HAT, extent, speed_1_HAT) |
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| 136 | gp.ExtractByMask_sa(in_speed_1_MSL, extent, speed_1_MSL) |
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| 137 | gp.ExtractByMask_sa(in_speed_2_HAT, extent, speed_2_HAT) |
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| 138 | gp.ExtractByMask_sa(in_speed_2_MSL, extent, speed_2_MSL) |
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| 139 | gp.ExtractByMask_sa(in_speed_3_HAT, extent, speed_3_HAT) |
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| 140 | gp.ExtractByMask_sa(in_speed_3_MSL, extent, speed_3_MSL) |
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| 141 | |
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| 142 | |
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| 143 | # Process: Copy Features... |
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| 144 | |
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| 145 | print 'Copy Highest Runup' |
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| 146 | gp.CopyFeatures_management(in_hr_1_HAT, hr_1_HAT, "", "0", "0", "0") |
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| 147 | gp.CopyFeatures_management(in_hr_1_MSL, hr_1_MSL, "", "0", "0", "0") |
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| 148 | gp.CopyFeatures_management(in_hr_2_HAT, hr_2_HAT, "", "0", "0", "0") |
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| 149 | gp.CopyFeatures_management(in_hr_2_MSL, hr_2_MSL, "", "0", "0", "0") |
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| 150 | gp.CopyFeatures_management(in_hr_3_HAT, hr_3_HAT, "", "0", "0", "0") |
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| 151 | gp.CopyFeatures_management(in_hr_3_MSL, hr_3_MSL, "", "0", "0", "0") |
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| 152 | |
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