if __name__ == "__main__":
import DataSources as mydatasource
reload(mydatasource)
#Constants
FACTORING_NUMBER = 100 #values divide this number to rescale to integer.
cchuncked_lines = []
ROUNDAT = 0 #to convert to int, make it 0
INTERGER_CONVERSION = True
#Load Data.
dlslist = []
datatype = 'mscounty'
t0, t1 = 0, 0
polygons, inputspatialref = mydatasource.getPolygons(datatype=datatype)
print len(polygons)
for pid in [0]: #,63,64,65,66,67,68,69]:#range(len(polygons)):
print("pid:"), pid
polygon = [polygons[pid]]
try:
t0 = time.time()
cchuncked_lines, cntoriglines = divide_lines_into_chunks(polygon)
t1 = time.time()
except:
continue
dls = constructDls(cchuncked_lines)
dlslist = [(datatype + ',' + str(pid) + "," + str(cntoriglines), dls)]
print("Constructed a dictionary type DLS.time:div,dlsconst:"), round(
t1 - t0, 3), ',', round(time.time() - t1, 3)
print
yy.append('w')
#if (y[k][1]>y[k][0]) and (y[k][0]>= y[k-1][1]):#...(?,6),(8,10)
#yy.append('g')
#yy.append('w') #wrapped around
#if (y[k][1]>y[k][0]) and (y[k][1]== y[k-1][1]):
#yy.append('w') #wrapped around after a previous blue
return yy
if __name__ == "__main__":
import DataSources as mydatasource
import sys
reload(mydatasource)
datatype = 'sample'
polygons, inputsspatialref, feature_names = mydatasource.getPolygons(
datatype=datatype, dofilter=True)
print("len of features_names"), len(polygons)
printer(polygons)
domapall = True #divides a complete map of polygons.
if domapall:
howmany = 1
else:
howmany = len(polygons)
datarows = []
for fid in range(0, howmany):
if domapall:
polygon = polygons #we are passing list of polys
fidx = 'map'
else:
polygon = [polygons[fid]]
