if not( os.path.exists(path)):
os.mkdir(path)
# Re-write this text file
fout = open(path+"\\"+f_prefix+".txt",'w')
for line in lines:
if line[-1] !='\n' : line = line + '\n'
if line[0] != 'd':
fout.write(line)
fout.write('d = '+str(datetime.date.today()))
fout.close()
### Main Function
r = Graph()
r.init_rectgrid(Interval(m,n),include_corners=False,wrap=False,cellsize=1)
init_r = 99 * [0]
init_r.append(1)
r.init_rvals([init_r])
t= History(r)
#execfile(base_path+rule_fname)
#fin = open(base_path+rule_fname)
#test_string = fin.readlines()
#fin.close()
#exec(test_string)
t.set_rule(base_path+rule_fname)
t.set_params(param)
if line[-1] !='\n' : line = line + '\n'
if line[0] != 'd':
fout.write(line)
fout.write('d = '+str(datetime.date.today()))
fout.close()
### Main Function
## 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))
from decodes.core import *
from decodes.core import dc_color, dc_base, dc_vec, dc_point, dc_cs, dc_line, dc_mesh, dc_pgon, dc_xform
import thesis
from thesis.ants.ants import Graph, History
from decodes.extensions.cellular_automata import CA
import random
import datetime
t = History()
t.add_gen()
t.add_gen()
r = Graph()
r.init_rectgrid(Interval(3, 3), include_corners=False, wrap=False, cellsize=1)
#r.init_rvals()
# r.to_file()
r.from_file()
prop_values = (0, 1, 2)
prop_colors = (Color(1, 1, 1), Color(1, 1, .5), Color(0))
state_list = ('undeveloped', 'access', 'built')
no_states = len(state_list)
color_dict = dict(zip(prop_values, prop_colors))
state_dict = dict(zip(prop_values, state_list))
sc = 1
#p = [1]
m = 10
n = 10
# Re-write this text file
fout = open(path + "\\" + f_prefix + ".txt", 'w')
for line in lines:
if line[-1] != '\n': line = line + '\n'
if line[0] != 'd':
fout.write(line)
fout.write('d = ' + str(datetime.date.today()))
fout.close()
### 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()
