def test1(setting, settingNewGen):
#parameters#
filename = 'Tests/tests_parents/test_parents.txt' #filename saved data
nbgeneration = 20 #nbgeneration
nbSimulation = 3 #nbSimulation
Parents = [1, 2, 3, 4]
############
open(filename, "w")
settingPrint = np.array([0, 1, 1])
for k in range(nbSimulation):
print(
'---------------------------------------------------------------')
print('Simulation numero', k + 1, 'sur', nbSimulation)
print(
'---------------------------------------------------------------')
setting[1] = 1
EF.TrainMultipleTrack(setting, settingPrint, settingNewGen, None,
'Tests/tests_parents/test_gen.txt')
setting[1] = nbgeneration
bestIndexMarkerL = []
for i in Parents:
print('----------------------------')
print('Nombre parents', i, 'sur', Parents[-1])
print('----------------------------')
setting[2] = i
bestIndexMarkerL.append(
EF.TrainMultipleTrack(setting, settingPrint, None,
'Tests/tests_parents/test_gen.txt',
None))
saveData(filename, "parents " + str(k), bestIndexMarkerL)
def test4(setting, settingNewGen):
#parameters#
filename = 'Tests/tests_mutations/test_mutations.txt' #filename saved data
nbgeneration = 20 #nbgeneration
nbSimulation = 3 #nbSimulation
MutationRate = [0.02, 0.04, 0.08, 0.15]
############
open(filename, "w")
settingPrint = np.array([0, 1, 1])
for k in range(nbSimulation):
print(
'---------------------------------------------------------------')
print('Simulation numero', k + 1, 'sur', nbSimulation)
print(
'---------------------------------------------------------------')
setting[1] = 1
EF.TrainMultipleTrack(setting, settingPrint, settingNewGen, None,
'Tests/tests_mutations/test_gen.txt')
setting[1] = nbgeneration
bestIndexMarkerL = []
for i in MutationRate:
print('----------------------------')
print('Mutation', i, 'sur', MutationRate[-1])
print('----------------------------')
setting[3] = i
bestIndexMarkerL.append(
EF.TrainMultipleTrack(setting, settingPrint, None,
'Tests/tests_parents/test_gen.txt',
None))
saveData(filename, "mutations " + str(k), bestIndexMarkerL)
def test3(setting, settingNewGen):
#parameters#
filename = 'Tests/tests_nsensors/test_nsensors.txt' #filename saved data
nbgeneration = 20 #nbgeneration
nbSimulation = 3 #nbSimulation
Sensors = [[-np.pi / 4, 0, np.pi / 4],
[-np.pi / 2, -np.pi / 4, 0, np.pi / 4, np.pi / 2],
[
-np.pi / 2, -np.pi / 3, -np.pi / 6, 0, np.pi / 6, np.pi / 3,
np.pi / 2
]]
############
open(filename, "w")
settingPrint = np.array([0, 1, 1])
for k in range(nbSimulation):
print(
'---------------------------------------------------------------')
print('Simulation numero', k + 1, 'sur', nbSimulation)
print(
'---------------------------------------------------------------')
setting[1] = nbgeneration
bestIndexMarkerL = []
t = 1
for sensors in Sensors:
print('----------------------------')
print('Sensor structure', t, 'sur', len(Sensors))
print('----------------------------')
settingNewGen[2] = np.array(sensors)
settingNewGen[3][0] = np.size(settingNewGen[2])
bestIndexMarkerL.append(
EF.TrainMultipleTrack(setting, settingPrint, settingNewGen))
t = t + 1
saveData(filename, "nsensors " + str(k), bestIndexMarkerL)
def test2(setting, settingNewGen):
#parameters#
filename = 'Tests/tests_speedInInput/test_speed.txt' #filename saved data
nbgeneration = 20 #nbgeneration
nbSimulation = 3 #nbSimulation
speedBool = [0, 1]
############
open(filename, "w")
settingPrint = np.array([0, 1, 1])
for k in range(nbSimulation):
print(
'---------------------------------------------------------------')
print('Simulation numero', k + 1, 'sur', nbSimulation)
print(
'---------------------------------------------------------------')
setting[1] = nbgeneration
bestIndexMarkerL = []
for i in speedBool:
print('----------------------------')
print('Speed', i, 'sur', speedBool[-1])
print('----------------------------')
settingNewGen[1] = i
settingNewGen[3][0] = 3 + i
bestIndexMarkerL.append(
EF.TrainMultipleTrack(setting, settingPrint, settingNewGen))
saveData(filename, "Speed " + str(k), bestIndexMarkerL)
def test5(setting, settingNewGen):
#parameters#
filename = 'Tests/tests_structure/tests_structure.txt' #filename saved data
nbgeneration = 20 #nbgeneration
nbSimulation = 3 #nbSimulation
Structure = [[3, 7, 5, 4], [3, 7, 4], [3, 7, 5, 5, 4], [3, 7, 5, 5, 5, 4]]
############
open(filename, "w")
settingPrint = np.array([0, 1, 1])
for k in range(nbSimulation):
print(
'---------------------------------------------------------------')
print('Simulation numero', k + 1, 'sur', nbSimulation)
print(
'---------------------------------------------------------------')
setting[1] = nbgeneration
bestIndexMarkerL = []
t = 1
for structure in Structure:
print('----------------------------')
print('Structure', t, 'sur', len(Structure))
print('----------------------------')
settingNewGen[3] = np.array(structure)
bestIndexMarkerL.append(
EF.TrainMultipleTrack(setting, settingPrint, settingNewGen))
t = t + 1
saveData(filename, "structure " + str(k), bestIndexMarkerL)
def test6(setting, settingNewGen):
#parameters#
filename = 'Tests/tests_circuit/tests_circuit.txt' #filename saved data
nbgeneration = 20 #nbgeneration
MapL = [['map/track1.png'], ['map/track3.png'],
[
'map/track1.png', 'map/track2.png', 'map/track3.png',
'map/myMap1.png'
]]
############
open(filename, "w")
settingPrint = np.array([0, 1, 1])
settingNewGen = [
50, 1,
np.array([-np.pi / 4, np.pi / 4, 0]),
np.array([4, 7, 5, 4])
]
for k in range(len(MapL)):
print(
'---------------------------------------------------------------')
print('Entrainement', k + 1, 'sur', len(MapL))
print(
'---------------------------------------------------------------')
setting[1] = nbgeneration
bestIndexMarkerL = []
setting[0] = MapL[k]
EF.TrainMultipleTrack(setting, settingPrint, settingNewGen, None,
'Tests/tests_circuit/test_gen' + str(k) + '.txt')
setting[0] = ['map/square.png']
setting[1] = 10
print('----------------------------')
print('Test sur Hard')
print('----------------------------')
bestIndexMarkerL.append(
EF.TrainMultipleTrack(
setting, settingPrint, settingNewGen,
'Tests/tests_circuit/test_gen' + str(k) + '.txt'))
saveData(filename, "circuits " + str(k), bestIndexMarkerL)
print('---------------------------------------------------------------')
print('Denier entraienemt')
print('---------------------------------------------------------------')
bestIndexMarkerL.append(
EF.TrainMultipleTrack(setting, settingPrint, settingNewGen))
saveData(filename, "circuits " + str(k), bestIndexMarkerL)
# Angles of the sensors, 0 is the front of the car
sensors = np.array(
[-np.pi / 2, -np.pi / 3, -np.pi / 6, 0, np.pi / 6, np.pi / 3, np.pi / 2])
# This parameter is the display parameter constituate of 3 booleans
# The graphical interface is print if the first argument is 1
# The markers are print if the seond argument is 1
# The sensors are print if the third argument is 1
settingPrint = np.array([1, 1, 1])
# These argument are the name of file to save and load generation
filenameLoadGen = None # Begin a new generation
filenameSaveGen = 'generations/final.txt'
# The length of the first layer of the neural newtork is imposed by the number of sensors
# The length of the last layer of the neural network is 4
# You can choose the length of the intermediate layer and its number
# For example, for a big network you can put :
# neuralNetworkStructure = np.array([np.size(sensors)+speedBool,100,100,50,20,10,4])
neuralNetworkStructure = np.array([np.size(sensors) + speedBool, 7, 5, 5, 4])
"""
-------------------------------------------------------------------------------
Do not Modify
-------------------------------------------------------------------------------
"""
setting = [filenameMapL, nbgeneration, nbParents, mutationRate]
settingNewGen = [nbCars, speedBool, sensors, neuralNetworkStructure]
EF.TrainMultipleTrack(setting, settingPrint, settingNewGen, filenameLoadGen,
filenameSaveGen)