def main():
counter = 0
success = 0
matchCheck = ""
while True:
try:
interactionsNum = int(input("Enter the number of interactions (1 or greater): "))
if interactionsNum <= 0:
print("Number must be 1 or greater") ##For 1 or greater
else:
break
except ValueError:
print("Do not enter non-numeric values") ##For non-numeric
while True:
try:
xPercent = int(input("Enter the percentage # of 'X' interactions for target (whole numbers from 0 - 100):"))
if xPercent < 0 or xPercent > 100:
print("Enter a value between 0 - 100 only") ##Sub one and greater than 100
else:
break
except ValueError:
print("Do not enter non-numeric values") ##Non-numeric
targetCall = Target() #Makes a Target
pursuerCall = Pursuer() #Makes a Pursuer
targetCall.setPercents(xPercent) #Set Target to user input
##Start run interactions
while counter < interactionsNum:
targetVal = targetCall.runRandom()
pursuerVal = pursuerCall.runRandom()
if targetVal == pursuerVal:
matchCheck = "Matched behavior"
success += 1
elif (targetVal == "x" and pursuerVal == "y"):
pursuerCall.setPercents(5) #Set X percent up
matchCheck = "Mis-Matched behavior"
else:
pursuerCall.setPercents(-5)
matchCheck = "Mis-Matched behavior"
print("Target: "+targetVal +" | Pursuer:" +pursuerVal +" | " +matchCheck) #Display interaction Target and Pursuer
counter += 1
print()
print()
##Begin post run display
print("ANALYSIS OF ALL THE INTERACTIONS (THE DATE)")
print(" Target: No. of X's: "+str(targetCall.xCount) +"\tNo. of Y's: "+str(targetCall.yCount))
print("Pursuer: No. of X's: "+str(pursuerCall.xCount) +"\tNo. of Y's: "+str(pursuerCall.yCount))
print("Number of successful matches: "+str(success))
print("Proportion of successful matches: " +"{0:0.1f}".format((success/interactionsNum)*100) +"%")
print()
if (success/interactionsNum)*100 >= 50:
print("Date was successful <3")
else:
print("Date was unsuccessful </3")
def make_default_robot(robot_name, path_color):
start_point = Target(
(np.random.randint(50, 350), np.random.randint(350, 550)),
radius=20,
color=0x00FF00)
initial_position = np.array(start_point.position)
target = Target((np.random.randint(600, 760), np.random.randint(50, 250)),
radius=20)
objective = NavigationObjective(target, env)
env.non_interactive_objects += [start_point, target]
robot = Robot(initial_position,
cmdargs,
env,
path_color=path_color,
name=robot_name,
objective=objective)
robot.put_sensor('radar', RadarSensor(env, robot, [], radar))
robot.put_sensor('gps', GpsSensor(robot))
if robot_name in params['robots']:
robot.put_sensor('params', params['robots'][robot_name])
else:
robot.put_sensor('params', {})
robot_obstacle = DynamicObstacle(MovementPattern.RobotBodyMovement(robot))
robot_obstacle.shape = 1
robot_obstacle.radius = 10
robot_obstacle.fillcolor = (0xcc, 0x88, 0x44)
robot.set_obstacle(robot_obstacle)
return robot, target
def print_targets(self):
'''
Prints targets to console
'''
if len(self.targets) == 0:
Color.p('\r')
return
if self.previous_target_count > 0:
# We need to "overwrite" the previous list of targets.
if Configuration.verbose <= 1:
# Don't clear screen buffer in verbose mode.
if self.previous_target_count > len(self.targets) or \
Scanner.get_terminal_height() < self.previous_target_count + 3:
# Either:
# 1) We have less targets than before, so we can't overwrite the previous list
# 2) The terminal can't display the targets without scrolling.
# Clear the screen.
from Process import Process
Process.call('clear')
else:
# We can fit the targets in the terminal without scrolling
# "Move" cursor up so we will print over the previous list
Color.pl(Scanner.UP_CHAR * (3 + self.previous_target_count))
self.previous_target_count = len(self.targets)
# Overwrite the current line
Color.p('\r')
Target.print_header()
for (index, target) in enumerate(self.targets):
index += 1
Color.clear_entire_line()
Color.pl(' {G}%s %s' % (str(index).rjust(3), target))
def print_targets(self):
'''
Prints targets to console
'''
if len(self.targets) == 0:
Color.p('\r')
return
if self.previous_target_count > 0:
# We need to "overwrite" the previous list of targets.
if self.previous_target_count > len(self.targets) or \
Scanner.get_terminal_height() < self.previous_target_count + 3:
# Either:
# 1) We have less targets than before, so we can't overwrite the previous list
# 2) The terminal can't display the targets without scrolling.
# Clear the screen.
from Process import Process
Process.call('clear')
else:
# We can fit the targets in the terminal without scrolling
# "Move" cursor up so we will print over the previous list
Color.pl(Scanner.UP_CHAR * (3 + self.previous_target_count))
self.previous_target_count = len(self.targets)
# Overwrite the current line
Color.p('\r')
Target.print_header()
for (index, target) in enumerate(self.targets):
index += 1
Color.pl(' {G}%s %s' % (str(index).rjust(3), target))
def loadTarget(self, approx): '''Does all the higher level calculations. Takes an input array of points and sends it to the Target object. Then takes the width and height from the target object and calculates Distance, Azimuth, and Altitude. ''' self.dist = 0 self.azimuth = 0 self.altitude = 0 self.targetType = -1 self.target = Target(approx) imgWidth = self.target.getWidth() imgHeight = self.target.getHeight() imgCenter = self.target.getCenter() rectCentX = imgCenter[0] rectCentY = imgCenter[1] offsetX = float(rectCentX - self.horizCent) offsetY = float(rectCentY - self.vertiCent) self.targetType = self.target.getType() self.dist = self.rectWidth * self.focalLen / imgWidth self.azimuth = np.arctan(offsetX / self.focalLen) * 180 / math.pi self.altitude = np.arctan(offsetY / self.focalLen) * 180 / math.pi
def __init__(self, cadi, model):
try:
Target.__init__(self, cadi, model)
self._add_alias("Memory", "N", True)
self._add_alias("Physical Memory", "NP", True)
except:
self._disconnect_callbacks()
raise
def __init__(self, cadi, model):
try:
Target.__init__(self, cadi, model)
self._add_alias("Memory", "N", True)
self._add_alias("Physical Memory", "NP", True)
except:
self._disconnect_callbacks()
raise
def getCState(self):
try:
camera_pos = self.Comms.get('cState').payload
self.cTurret = CameraTurret([
Target(np.array([0, 100, 100]).reshape(3, 1), "t0"),
Target(np.array([0, 100, 150]).reshape(3, 1), "t1"),
Target(np.array([0, 150, 150]).reshape(3, 1), "t2")
], camera_pos[0][0], camera_pos[1][0])
except queue.Empty:
pass
def __init__(self, cadi, model):
try:
Target.__init__(self, cadi, model)
self._add_alias("Normal", "N", True)
self._add_alias("Secure", "S")
self._add_alias("NS Hyp", "H")
self._add_alias("Physical Memory (Non Secure)", "NP")
self._add_alias("Physical Memory (Secure)", "SP")
except:
self._disconnect_callbacks()
raise
def test_get_percent_observed_targets():
sen1 = Sensor(2, 2, Point(0, 0))
sen2 = Sensor(2, 2, Point(1, 0))
tar1 = Target(Point(1, 1))
tar2 = Target(Point(4, 4))
tar4 = Target(Point(5, 5))
tar3 = Target(Point(3, 0))
sensor_list = [sen1, sen2]
targest_list = [tar1, tar2, tar3, tar4]
a = Scheduler(sensor_list, targest_list, 2, 2)
assert a.get_percent_observed_targets() == 50
def __init__(self, cadi, model):
try:
Target.__init__(self, cadi, model)
self._add_alias("Normal", "N", True)
self._add_alias("Secure", "S")
self._add_alias("NS Hyp", "H")
self._add_alias("Physical Memory (Non Secure)", "NP")
self._add_alias("Physical Memory (Secure)", "SP")
except:
self._disconnect_callbacks()
raise
def select_next_action(self):
rcnt = 10
if self._tmp_counter > 30:
self._tmp_counter = 0
self._global_algo = util.algo_from_config(
self._params['global_algorithm'],
self._sensors,
self._target,
self._cmdargs,
use_as_global_planner=True)
self._global_algo.select_next_action()
if self._global_algo.has_given_up():
self._has_given_up = True
if len(self._global_algo._solution) == 0:
self._next_waypoint = self._target
else:
self._next_waypoint = Target(np.array(
self._global_algo._solution[0].data),
radius=self._waypoint_radius)
self._local_algo = util.algo_from_config(
self._params['local_algorithm'], self._sensors,
self._next_waypoint, self._cmdargs)
#self._local_algo.set_target(self._next_waypoint)
elif self._gps.distance_to(
self._next_waypoint.position
) < self._next_waypoint.radius or self._tmp_counter % rcnt == (rcnt -
1):
if self._gps.distance_to(
self._next_waypoint.position) < self._next_waypoint.radius:
self._tmp_counter = 0
old_waypoint = self._next_waypoint
self._global_algo.select_next_action()
if len(self._global_algo._solution) > 0:
self._next_waypoint = Target(np.array(
self._global_algo._solution[0].data),
radius=self._waypoint_radius)
else:
self._next_waypoint = self._target
if self._next_waypoint != old_waypoint:
self._local_algo = util.algo_from_config(
self._params['local_algorithm'], self._sensors,
self._next_waypoint, self._cmdargs)
#self._local_algo.set_target(self._next_waypoint)
self._tmp_counter += 1
next_action = self._local_algo.select_next_action()
self.debug_info = {
**self._local_algo.debug_info,
**self._global_algo.debug_info
}
return next_action
def __init__(self,
name,
sources=None,
paths=None,
defines=None,
link=None):
Target.__init__(self,
name,
sources=sources,
paths=paths,
defines=defines,
link=link,
linkTo=Target.Executable)
def __init__(self,
name,
sources=None,
paths=None,
defines=None,
link=None):
Target.__init__(self,
name,
sources=sources,
paths=paths,
defines=defines,
link=link,
linkTo=Target.StaticLibrary)
def __init__(self, name, platform, importer, generator):
Target.__init__(self, name)
# self.message( 'Configuring build environment for ' + name + '...' )
self._targets = []
self._externals = None
self.importer = importer
self.platform = platform
self.generator = generator
self.toolsPath = None
self.outputLibPath = None
self.outputExePath = None
def restart(self, event):
touche = event.keysym
if touche == 'Return':
# print("Enter")
self.unbind('<Key>')
self.field.destroy()
self.h = 150
self.score = 0
self.field = Canvas(self, width=600, height=600, background='black')
self.field.grid(row=1)
self.p = Snack(self.field)
self.q = Target(self.field)
self.start()
def playbackRedrawAll(canvas, data):
canvas.create_image(data.width/2,data.height/2,image=data.playBGImage)
drawSnowflakes(canvas,data)
Drop.draw(canvas,data)
Brick.draw(canvas,data)
Target.draw(canvas,data)
Scroll.draw(canvas,data)
drawScore(canvas,data)
drawLevel(canvas,data)
Spike.draw(canvas,data)
Bomb.draw(canvas,data)
WormholeA.draw(canvas,data)
WormholeB.draw(canvas,data)
Trap.draw(canvas,data)
drawPlaybackTable(canvas,data)
def build_scheduler(sen, tar):
sen1 = Sensor(2, 2, Point(0, 0))
sen2 = Sensor(2, 2, Point(1, 0))
tar1 = Target(Point(1, 1))
tar4 = Target(Point(0, 1))
tar2 = Target(Point(2.5, 0))
tar3 = Target(Point(8, 8))
target_list = [tar1, tar2, tar3, tar4]
sensor_list = [sen1, sen2]
for sensor in sen:
sensor_list.append(sensor)
for target in tar:
sensor_list.append(target)
a = Scheduler(sensor_list, target_list, 2, 2)
return a
def test_build_fields_list():
sen1 = Sensor(2, 2, Point(0, 0))
sen2 = Sensor(2, 2, Point(1, 0))
tar1 = Target(Point(1, 1))
tar4 = Target(Point(0, 1))
tar2 = Target(Point(2.5, 0))
tar3 = Target(Point(8, 8))
target_list = [tar1, tar2, tar3, tar4]
sensor_list = [sen1, sen2]
a = Scheduler(sensor_list, target_list, 2, 2)
assert len(a.fields_list) == 2
assert len(sen1.fields) == 1
assert len(sen2.fields) == 2
assert len(sen1.fields[0].targets) == 2
def populateTargets(self):
'''
create targets and populate targets list
'''
# create targets
for indx in range(vars.target_num):
# randomly place target outside of UAV FOV, so this radius is in addition to d_fov
radius = random.random() * vars.uav_dfov / 2
# get random angle direction to place target
angle = random.random() * 2 * math.pi
direction = random.random() * math.pi * 2
position = np.array([
(radius + vars.uav_dfov / 2) * math.cos(angle),
(radius + vars.uav_dfov / 2) * math.sin(angle)
]) + self.uav.position
# create target
target = Target(position=position, direction=direction)
# add measurement of initial location
# measured = np.array([target.position]).T
# target.measure(measured)
# create targets
self.targets.append(target)
def _initialize_mdps(self, maps, targetss, cmdargs, height, width): mdps = list() features = dict() for i in range(len(maps)): targets = targetss[i] env = Environment(width, height, maps[i], cmdargs) start_point = Target(targets[0], color=0x00FF00) target = Target(targets[1]) # Init robots mdp = MDPAdapterSensor(env, start_point.position, target.position, cell_size = 20, unique_id=os.path.basename(maps[i])) feature = self._get_features(mdp) mdps.append(mdp) features[mdp] = feature return mdps, features
def __init__(self, CanvasWindow, numOfTargets, image):
""" Initializes the Rover class.
Parameters:
------------
CanvasWindow : CanvasWindow object
CanvasWindow object for the targets.
numOfTargets : int
The total number of targets.
image : Image file
The image file for the targets
Attributes:
------------
canvasWindow:
numOfTargets:
targetList:
canvas_height:
canvas_width:
"""
self.canvasWindow = CanvasWindow
self.numOfTargets = numOfTargets
self.targetCoords = self.generateTargetCoordinates()
self.size = numOfTargets
self.targetsList = []
for i in xrange(numOfTargets):
self.targetsList.append(
Target(self.canvasWindow, i, image, self.targetCoords[i]))
self.canvasWindow.map_array[self.targetCoords[i][0]][
self.targetCoords[i][1]] = 1
# Canvas variables
self.canvas_height = self.canvasWindow.canvas.winfo_height()
self.canvas_width = self.canvasWindow.canvas.winfo_width()
self.canvasWindow.tbwCaptured.config(text=self.size)
def __init__(self, num_util, nb_repet, taille, densite, pathGenPoints,
pathRandPoints):
super(QWidget, self).__init__()
self.setMouseTracking(True)
self.num_util = num_util
self.nb_repet = nb_repet
self.cpt = nb_repet
self.taille = taille
self.densite = densite
self.targets = list()
file1 = open(pathGenPoints, 'r')
line1 = reader(file1)
for row in line1:
self.targets.append(Target(int(row[0]), int(row[1]), int(row[2])))
#file2 = open(pathRandPoints,'r')
#line2 = reader(file2)
self.randoms = list()
#for row in line2:
# self.randoms.append(Target(int(row[0]),int(row[1]),int(row[2])))
self.curosr = RopeCursor(self.targets)
self.error = 0
self.timer = None
self.random = None
self.randomTarget()
self.fileL = "log@" + str(self.num_util) + ".csv"
self.fileLog = open(self.fileL, 'a', newline='')
self.writerLog = writer(self.fileLog)
self.log = list()
def load_from_txt_file(cls,
fname,
query_interval=None,
min_merge_dist=DEFAULT_MERGE_DISTANCE):
"""
Loads a plain text bed file into a list of Interval objects,
only including those in the query interval if specified.
:param fname: text file with bed format of chrom, start, end, id
:param query_interval: Query Interval, will return all if none
:param min_merge_dist: Minimum distance to merge intervals by
:return: A TargetCollection from the bed file that overlap the query interval
"""
if not os.path.exists(fname):
raise IOError("Text file " + fname + " does not exist")
result = cls(min_merge_dist=min_merge_dist)
with open(fname) as fh:
for line in fh:
if line[0] != "#":
interval = Target.create_from_BED_string(line)
if query_interval and query_interval.overlaps(interval):
result.append(interval)
elif not query_interval:
result.append(interval)
result.merge_nearby_intervals()
return result
def get_target(self, target):
"""
Obtain an interface to a target
:param target: The instance name corresponding to the desired target
"""
interface_name = "eslapi.CADI2"
target_id = next((t.id for t in self.__simulation.GetTargetInfos()
if t.instanceName == target), None)
if target_id == None:
raise ValueError("Model has no target named \"%s\"" % target)
if target_id not in self.__targets:
target = self.__simulation.GetTarget(target_id)
result = target.ObtainInterface(interface_name)
if type(result) == int:
raise Model.ObtainInterfaceFailed(interface_name)
(interface, rev) = result
cadi = CADI.CAInterface_CADI(interface)
target_name = cadi.CADIGetTargetInfo().targetName
try:
# if this fails, this target object hangs around, breaking the
# modechange callbacks
target_object = _target_classes[target_name](cadi, self)
except Exception as ex:
target_object = Target(cadi, self)
if self.__verbose:
warn("Failed to load specialised target, falling back to general implementation.\n(Error: %s)" % ex)
self.__targets[target_id] = target_object
return self.__targets[target_id]
def getTargets(self):
targets = []
for t in self.data["targets"]:
pose = Pose3d()
pose.x = t["x"]; pose.y = t["y"]
targets.append(Target(t["name"],pose,False,False))
return targets
def __init__(self):
# ----- Initialisation de la fenêtre ---------
Tk.__init__(self)
self.geometry('600x635+400+20')
self.title('Snack Game')
self.h = 150
self.score = 0
self.info = Canvas(self, width=600, height=31, bg='black')
self.info.grid(row=2)
self.info_score = self.info.create_text(548, 18, text='Score : ' + str(self.score), font='Arial 15 bold', fill='white')
# ----- Initialisation du canvas ------------
self.field = Canvas(self, width=600, height=600, background='black')
self.field.grid(row=1)
self.p = Snack(self.field)
self.q = Target(self.field)
self.start()
def __init__(self, agents_to_create, targets_per_agent_to_create, mode):
""" TODO still have to finish up this as well
"""
# Creates the agent and target lists
self.agents = list()
self.targets = list()
# Loops to create the necessary number of agents
for a_id in range(0, agents_to_create):
location = self.generate_unique_location()
new_agent = Agent(self, a_id, location)
self.agents.append(new_agent)
# Adds all the targets for the newly generated agent
for t_id in range(0, targets_per_agent_to_create):
location = self.generate_location()
new_target = Target(self, t_id, location, new_agent)
self.targets.append(new_target)
# Sets the game mode of the game field
self.object_list = self.agents + self.targets
self.mode = mode
# Sets up the public and private information channels
self.public_info = list()
self.private_info = list()
print("GameMode: {}".format(self.mode))
def __init__(self,
sensors,
target,
cmdargs,
global_algo_init=DynamicRrtNavigationAlgorithm,
local_algo_init=SamplingNavigationAlgorithm):
self._sensors = sensors
self._target = target
self._cmdargs = cmdargs
self._global_algo_init = global_algo_init
self._local_algo_init = local_algo_init
self._radar = sensors['radar']
self._gps = sensors['gps']
sensors['mapper'] = StaticMapper(sensors)
self.debug_info = {}
self._waypoint_radius = 26
self._global_algo = global_algo_init(sensors, target, cmdargs)
self._next_waypoint = Target(self._gps.location(),
radius=self._waypoint_radius)
self._local_algo = local_algo_init(sensors, self._next_waypoint,
cmdargs)
self._tmp_counter = 0
self._has_given_up = False
def add_new_item(self, item_name, found, picture):
'''adds new item to end of list'''
# make new item object using given info
new_item = Target(item_name, found, picture)
cur_list = self.get_item_list() # gets list as it stands now
cur_list.append(new_item) # appends item at end of list
self.set_item_list(cur_list) # set class field to modified list
def getTargets(self):
targets = []
for t in self.data["targets"]:
targets.append(
Target(t["name"],
jderobot.Pose3DData(t["x"], t["y"], 0, 0, 0, 0, 0, 0),
False, False))
return targets
def effects(controller, source):
target = yield Target(isArtifactCreature,
msg="Target Artifact Creature for %s" % source)
if controller.you_may("move all +1/+1 counters from %s to target" %
source.name):
target.add_counters(PowerToughnessCounter(1, 1),
number=source.num_counters("+1+1"))
yield
def make_target(ip):
ans, unans = arping(ip)
conf.verb = 0
for snd,rcv in ans:
ipv4 = ip
mac = rcv[Ether].src
manu = find_vendor(mac)
return Target(ipv4, mac, manu)
class Main(object):
"""description of class"""
def __init__(self, img):
self.img = cv2.resize(img, (0, 0), fx = 0.2, fy = 0.2)
self.detect = TargetDetector(self.img)
self.detect.threshold([0, 0, 200], [255, 100, 255])
self.target = Target(self.img, self.detect.findRect())
self.processor = TargetProcessor(self.img, self.detect.findRect())
def display(self):
cv2.imshow("dd", self.img)
cv2.waitKey(0)
def distance(self):
return self.processor.distance(self.target.xmin, self.target.xmax)
def azimuth(self):
return self.processor.azimuth(self.target.center(), self.target.img_center())
def altitude(self):
return self.processor.altitude(self.target.center(), self.target.img_center())
essid = Configuration.target_essid
i = 0
while i < len(result):
if bssid and result[i].bssid.lower() != bssid.lower():
result.pop(i)
continue
if essid and result[i].essid.lower() != essid.lower():
result.pop(i)
continue
i += 1
return result
if __name__ == '__main__':
''' Example usage. wlan0mon should be in Monitor Mode '''
with Airodump() as airodump:
from time import sleep
sleep(7)
from Color import Color
targets = airodump.get_targets()
Target.print_header()
for (index, target) in enumerate(targets):
index += 1
Color.pl(' {G}%s %s' % (str(index).rjust(3), target))
Configuration.delete_temp()
def __init__(self, name, sources):
Target.__init__(self, name)
self.sources = sources
