### Main Function
r = Graph()
if init_fname == "":
r.init_rectgrid(model_size, include_corners=False, wrap=False, cellsize=1)
if block_size.a == 0:
init_r = 30 * [0]
init_r[0] = 1
r.init_rvals([init_r, [-1], [0]])
else:
r.init_block(model_size=model_size,
block_size=block_size,
no_vals=param[10],
increment=param[11])
r.to_csv(f_name, path)
else:
# r.init_ppm(init_fname,base_path+'\\maps\\',color_dict)
r.from_csv(init_fname, base_path)
p = r.parcel_list()
footprint = r.parcel_fp(p[0], len(state_dict))
floor_area = r.parcel_flr(p[0], len(state_dict))
if out_fname != "":
r.to_csv(out_fname, base_path)
t = History(r)
t.set_dict(color_dict, state_dict)
t.set_rule(base_path + '\\rules\\' + rule_fname)
## make it a loop
for i in range(0,param[29]-1):
s = i*((param[29])-1.0)
print
r = Graph()
if init_fname == "":
r.init_rectgrid(model_size,include_corners=False,wrap=False,cellsize=1)
if block_size.a == 0:
init_r = 30 * [0]
init_r[0] = 1
r.init_rvals([init_r,[-1],[0]])
else:
r.init_block(model_size=model_size,block_size=block_size, no_vals = param[10], increment = param[11])
r.to_csv(f_name,path)
else:
# r.init_ppm(init_fname,base_path+'\\maps\\',color_dict)
r.from_csv(init_fname,base_path)
p = r.parcel_list()
footprint = r.parcel_fp(p[0], len(state_dict))
floor_area = r.parcel_flr(p[0], len(state_dict))
if out_fname != "":
r.to_csv(out_fname,base_path)
t= History(r)
t.set_dict(color_dict,state_dict)
## make it a loop
for i in range(0,param[29]+1):
print "test ",i
s = round(i/(float(param[29])),2)
random.seed(s)
r = Graph()
if init_fname == "":
r.init_rectgrid(model_size,include_corners=False,wrap=False,cellsize=1)
if block_size.a == 0:
init_r = 30 * [0]
init_r[0] = 1
r.init_rvals([init_r,[-1],[0]])
else:
r.init_block(model_size=model_size,block_size=block_size, no_vals = param[10], increment = param[11])
r.to_csv(f_name,path)
else:
# r.init_ppm(init_fname,base_path+'\\maps\\',color_dict)
r.from_csv(init_fname,base_path)
#
# p = r.parcel_list()
# footprint = r.parcel_fp(p[0], len(state_dict))
# floor_area = r.parcel_flr(p[0], len(state_dict))
# print "starting : ",footprint," far: ", floor_area
# if out_fname != "":
# r.to_csv(out_fname,base_path)
t= History(r)
t.set_dict(color_dict,state_dict)