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()