20190912 15382200 1.0 TRUE CalculateField Building_Footprints Bldg_Use unassigned VB # CalculateField Building_Footprints Bldg_Use "unassigned" VB # CalculateField Building_Footprints Stop_Date 12/31/9999 VB # CalculateField Building_Footprints Stop_Date "12/31/9999" VB # CalculateField Building_Footprints CreateDate "09/12/2019" VB # CalculateField Building_Footprints User_Id "ELDORADO\mlaloggia" VB # CalculateField Building_Footprints CreateMthd "Microsoft" VB # CalculateField Building_Footprints Orig_Srce "Microsoft" VB # CalculateField Building_Footprints FootprntID autoIncrement() PYTHON_9.3 "rec=0 \ndef autoIncrement(): \n global rec \n pStart = 1 \n pInterval = 1 \n if (rec == 0): \n rec = pStart \n else: \n rec += pInterval \n return rec\n" CalculateField Building_Footprints foottest autoIncrement() PYTHON_9.3 "rec=0 \ndef autoIncrement(): \n global rec \n pStart = 1 \n pInterval = 1 \n if (rec == 0): \n rec = pStart \n else: \n rec += pInterval \n return rec\n" CalculateField Building_Footprints Bldg_Use "unassigned" VB # CalculateField Building_Footprints Stop_Date "12/31/9999" VB # CalculateField Building_Footprints CreateDate "09/12/2019" VB # CalculateField Building_Footprints User_Id "ELDORADO\mlaloggia" VB # CalculateField Building_Footprints CreateMthd "Microsoft" VB # CalculateField Building_Footprints Orig_Srce "Microsoft" VB # CalculateField Building_Footprints FootprntID autoIncrement() PYTHON_9.3 "rec=0 \ndef autoIncrement(): \n global rec \n pStart = 1 \n pInterval = 1 \n if (rec == 0): \n rec = pStart \n else: \n rec += pInterval \n return rec\n" CalculateField Building_Footprints Start_Date "09/12/2019" VB # Building Footprints Building Footprints Map2 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