def getRepertoire():
try:
dict = jsonEditor.readDict(
GeneticAlgorithm.Constants.repertoire_paths[0])
return dict
except Exception, e:
print "error", e
def plot2d_2_series_from_path(path):
data_read = jsonEditor.readDict(path + "values")
data = data_read["fitness"]
data2 = data_read["novelty"]
if len(data2.keys()) == 0:
plot2d_2_series(data, data2, path + "values_graph", "generations",
"fitness")
else:
plot2d_2_series(data, data2, path + "values_graph", "generations",
"fitness and novelty")
data_read2 = jsonEditor.readDict(path + "ncd_full")
plot2d(data_read2, path + "ncd_full", "generations", "ncd_full")
data_read3 = jsonEditor.readDict(path + "criterion_1")
plot2d(data_read3, path + "criterion_1", "generations", "criterion 1")
data_read4 = jsonEditor.readDict(path + "criterion_2")
plot2d(data_read4, path + "criterion_2", "generations", "criterion 2")
def mutation(movesList):
for _ in range(
random.randint(
1, GeneticAlgorithm.Constants.max_number_of_mutations)):
movesList[random.randint(
0,
len(movesList) - 1)] = jsonEditor.readDict(
random.choice(GeneticAlgorithm.Constants.list_of_moves))
return (movesList, )
def getResults():
try:
dict = jsonEditor.readDict(GeneticAlgorithm.Constants.results_path)
return dict
except Exception, e:
print "error", Exception, e
def getRepertoireWithPath(path):
try:
dict = jsonEditor.readDict(path)
return dict
except Exception, e:
print "error", Exception, e
def loadListOfMoves():
return jsonEditor.readDict(GeneticAlgorithm.Constants.list_of_moves_path)
def getArchive():
try:
dict = jsonEditor.readDict(GeneticAlgorithm.Constants.archive_path)
return dict
except Exception, e:
print "error", Exception, e
def getres(path):
try:
dict = jsonEditor.readDict(path)
return dict
except Exception, e:
print "error", Exception, e
repertoire = []
repertoire_length = 0
# calculate fitness generations
gen_fitness = calculate_fitness_generations(path=path)
gen_fitness_total.append(gen_fitness)
# open the repertoire
with open(os.path.join(path, "repertoire_serialized")) as fp:
for line in fp:
if (line != "\n"):
repertoire_length = repertoire_length + 1
repertoire.append(line[:-1])
fp.close()
results_fitness_and_novelty = jsonEditor.readDict(
os.path.join(path, "results"))
fit = []
ncd_local = []
string_rep = concatenate_items_to_string(repertoire)
nov_local = []
for x in results_fitness_and_novelty["results"]:
results_complete.append(x["ind"])
avg_fit_results = avg_fit_results + x["value"][0]
fit.append(x["value"][0])
ncd_local.append(compute_ncd("".join(x["ind"]), string_rep))
if "and" in path:
avg_nov = avg_nov + x["value"][1]
nov_local.append(x["value"][1])
all_results["alg"] = fit
full_ncd_total["alg"] = ncd_local
avg_fit_results = avg_fit_results / results_length
import bcolors
from NaoLibs.lib1 import angles_2 as angles
import os
from JsonEditor import jsonEditor
from NaoLibs.Common import sendToRobot
from Mathematical import plot3d
# filename = 'prova8maggio'
filename = 'provanoh1'
# filename = 'nohbasics'
dirName = "json/1/" + filename
data = jsonEditor.readKinectDict(filename)
t = 0
if not os.path.exists(dirName):
os.mkdir(dirName)
for key in data['datafile']:
value = key['data']
print bcolors.ERRMSG + "number",key["coord"] + bcolors.ENDC
listAngles = angles.anglesList(value)
jsonEditor.dumpDict(dirName + "/" + str(t), listAngles)
listAngles = jsonEditor.readDict(dirName + "/" + str(t))
sendToRobot.sendrobot(listAngles,t)
# plot3d.printplot(key)
t = t + 1
def readAndMove(filename, t):
listAngles = jsonEditor.readDict(filename)
sendToRobot.sendrobot(listAngles, t)
def readAndMove(filename, t):
listAngles = jsonEditor.readDict(filename)
print (listAngles)
# here can be added the balance
sendToRobot.sendrobot(listAngles, t)
