def didClickSubmitButton(self, event):
print(self.imageFilePath)
img = img_as_ubyte(io.imread(CLUSTER_IMAGE_FILENAME))
roi_img = spectral_roi.extract_roi(img, gui_checkbox_handlers.getSelectedClusters())
roi_img_filename = "{}.png".format(Helper.generate_random_id())
io.imsave(roi_img_filename, roi_img)
Display.show_image(roi_img, roi_img_filename)
def generate_music_list(softlist_xml_list):
found_music = []
selected_softlist_xml = None
for softlist_xml in softlist_xml_list.findall('softwarelist'):
if softlist_xml.attrib['name'] == "vgmplay":
selected_softlist_xml = softlist_xml
break
found_qty = 0
for soft_xml in selected_softlist_xml:
item = FilterSoftware.get(soft_xml)
if item is None:
continue
for part_xml in item.get_soft_xml().findall('part'):
part_item = Item()
part_item.set_soft_xml(item.get_soft_xml())
part_item.set_part_xml(part_xml)
found_music.append(part_item)
if len(found_music) > found_qty + 1000:
found_qty = len(found_music)
Display.print_text("Found " + str(len(found_music)) + " musics")
return found_music
def get(soft_list_list):
global item_list
global first_pass
if len(item_list) == 0:
if first_pass is False and Config.auto_quit is True:
return None
first_pass = False
item_list = CommandGeneratorMusic.generate_music_list(soft_list_list)
Display.print_text("Found " + str(len(item_list)) + " musics")
time.sleep(1.5)
if len(item_list) == 0:
return None
if Config.linear is True:
rand = 0
else:
rand = random.randrange(len(item_list))
selected_item = item_list[rand]
item_list.pop(rand)
print(str(len(item_list)), "softwares left")
return selected_item
def __init__(self):
""" Creates display and initial menu """
# nothing much to do here yet until display is better
self.b = Board()
self.d = Display(self.b)
self.n = 0
self.forced = False
def display(self):
try:
return self._display
except AttributeError:
self._display = Display()
self._display.start()
return self._display
def parse_what(neurota, com_name, com):
if len(com) != 4 or ':' not in com[3]:
Tools.syntax_abort(neurota.args, "wrong # of commands in what statement",
"what is <attribute> of <topic:table>")
elif com[2] != 'of':
Tools.syntax_abort(neurota.args, "wrong # of commands in what statement",
"what is <attribute> of <topic:table>")
else:
topic, table = Tools.split_topic(com[3])
attribute = com[1]
if topic not in neurota.db.keys():
Tools.display("topic: %s not found!" % Tools.color(topic, "green"))
elif table not in neurota.db[topic].keys():
Tools.display("table: %s not found!" % Tools.color(table, "green"))
else:
found = False ; i = 0
for node in neurota.db[topic][table]:
if node.item == attribute:
max_len = len(node.item) ; found = True
Display.show_node(i, node, max_len, times=False, show_note=True)
break
i += 1
if not found:
Tools.display("%s not found!" % Tools.color(attribute, "green"))
def question(se, question):
"""
question(search_engine, question)
The function to generate result for a question
"""
# Analyze the question in the query first
term = Answer.get_term(question)
author_query = Answer.get_query(term, 'author')
business_person_query = Answer.get_query(term, 'business_person')
# Queries for author and business person
author_result = se.get_mql_result(author_query)
if author_result is None:
print 'Error in author search'
return
business_person_result = se.get_mql_result(business_person_query)
if business_person_result is None:
print 'Error in business person search'
return
# Extract and format the information
author_answer = Answer.get_answer(author_result, 'author')
business_person_answer = Answer.get_answer(business_person_result, 'business_person')
author_answer.extend(business_person_answer)
if author_answer is not None and len(author_answer) > 0:
author_answer = sorted(author_answer, key=itemgetter(0))
if not question.endswith('?'):
question = question + '?'
Display.draw_answer(author_answer, question)
else:
print 'There is no result for \'' + question + '\'!'
def __init__(self):
self.display = Display()
self.map_player = Map()
self.needle = Item("needle", 4, self.map_player)
self.map_player.put_item_on_map(self.needle)
self.ether = Item("ether", 5, self.map_player)
self.map_player.put_item_on_map(self.ether)
self.tube = Item("tube", 6, self.map_player)
self.map_player.put_item_on_map(self.tube)
self.mac_gyver = Player(self.map_player)
self.display.load_wall()
self.display.load_ground()
self.display.load_player_display()
self.display.load_jailer()
self.display.load_items()
self.display.load_font()
self.display.refresh(self.map_player, self.mac_gyver)
self.display.show_inventory(self.mac_gyver)
self.items_in_game = [self.needle, self.ether, self.tube]
self.keyboard_list_movements = [
pygame.K_UP, pygame.K_DOWN, pygame.K_LEFT, pygame.K_RIGHT
]
self.keyboard_functions = [
self.mac_gyver.move_up, self.mac_gyver.move_down,
self.mac_gyver.move_left, self.mac_gyver.move_right
]
def move(self, board, n, newDisplay):
"""
The main function for this class. Returns the point the AI wants to move in.
"""
self.updateAll(board, n, newDisplay, -1000)
# check for four in a row on both sides
move = self.assuredMove()
if self.decided:
if move == False:
print "Chris has been trying to recreate this bug for a while,"
print "Please get all this info to him if possible."
print "Moves: ", self.b.moveList
print "Players: ", self.n, self.o
print "Move, assured, decided, scared: ", move, self.assured, self.decided, self.scared
print "Board:"
newD = Display(self.b, [None], [None])
newD.displayShittyBoard()
print "Possible moves: ", self.moves
return move
move = self.weakLookAhead()
return move
def extract_roi(img, labels_to_keep=[1, 2]):
'''
Given a wheat image, this method returns an image containing only the region
of interest.
Args:
img: input image.
labels_to_keep: cluster labels to be kept in image while pixels
belonging to clusters besides these ones are removed.
Return:
roi_img: Input image containing only the region
of interest.
'''
label_img = segmentation.slic(img, compactness=30, n_segments=6)
labels = np.unique(label_img)
print(labels)
gray = rgb2gray(img)
for label in labels:
if (label not in labels_to_keep):
logicalIndex = (label_img == label)
gray[logicalIndex] = 0
Display.show_image(gray)
return gray
def infobox(se, query):
"""
infobox(search_engine, query)
The function to generate infobox for the query
"""
json = se.get_search_result(query)
if json is None:
print 'Error in search'
return
info_list = None
for element in json:
topic_id = element['mid']
topic = se.get_topic_result(topic_id)
if topic is None:
continue
# Parse and analyze the topic
# Get out of the loop if the topic is valid
# Otherwise, continue to check the next topic
title = query.title()
info_list = Analyser.build_infobox(topic, title)
if len(info_list) > 0: # Nonempty result
# print info_list
break
if info_list is not None and len(info_list) > 0:
Display.draw_infobox(info_list)
else:
print 'There is no result for \'' + query + '\'!'
def __init__(self, id=None, name=None, parent=None):
Layout.Vertical.__init__(self, id, name, parent)
self.addClass("WebElementActionBox")
self.header = self.addChildElement(Display.Label())
self.header.addClass("WebElementActionBoxHeader")
self.actions = self.addChildElement(Display.List())
def __init__(self, isDisplay=True): self.__isDisplay = isDisplay if isDisplay: self.display = Display() self.genetic = Genetic() self.tetrisList = [] self.population = [] self.generation = 0
def list_drink(self):
drink_items = []
for key in self.items:
obj = self.items[key]
if type(obj) == type(Drink()):
table_row = obj.list_for_table()
drink_items.append(table_row)
Display.table_to_console(self.table_header(), drink_items)
def onClickPesticide(self):
arduinoControl.make_connection()
#arduinoControl.kill_weeds()
if arduinoControl.no_connection() is None:
Display.displayWarning(self, 'Arduino was unable to initialize.')
return
self.log('Pesticide')
arduinoControl.close_connection()
class GFXEngine :
"""
This class draws the gfx
"""
def __init__ (self, lll, viewspace, mymap):
self.lll = lll
self.display = Display ()
self.viewspace = viewspace
self.mymap = mymap
self.terrainset = TerrainSet ()
# Test
self.settsurf = Surface ()
self.settsurf.loadFromFile ("gfx/protosettler.png")
self.settsurf.cols = 16
self.settsurf.rows = 16
self.sprites = []
def create_settler(self, x, y):
""" Adds a settler to be drawn on the screen at position x, y and returns a reference to this settler. """
sprite = Sprite (self.viewspace, self.settsurf)
sprite.x = x
sprite.y = y
sprite.configAnimation (True, 0, 24, 25)
self.sprites.append(sprite)
return sprite
def tick (self):
"""
tick() executes all actions which must be done by the GFX-Engine in one Game-Loop-cycle
This is: clearing the screen, drawing all objects, showing the new game-frame
"""
self.display.clear ()
self.draw ()
for sprite in self.sprites:
sprite.drawToDisplay (self.display)
self.display.showFrame ()
def draw (self):
self.drawLandscape ()
def drawLandscape (self):
self.drawTerrain ()
def drawTerrain (self):
self.lll.view.DrawTerrain (self.mymap.terra.asCArray (), self.mymap.mapsize, TRIA_W, TRIA_H,
TEX_FACTOR, self.terrainset.asCArray(), self.mymap.getVertarray().asCArray())
def parse_search(neurota, com_name, com):
# scan for optional keywords. remove if found.
times = Tools.scan_option("times", com)
sort = Tools.scan_option("sort", com)
if len(com) == 2 and com[0].find(':') != -1:
topic, table = Tools.split_topic(com[0])
pattern = com[1]
if topic not in neurota.db.keys():
Tools.display("topic: %s not found!" % Tools.color(topic, "green"))
else:
if table not in neurota.db[topic].keys():
Tools.display("table: %s not found!" %
Tools.color(table, "green"))
else:
search_results = []
# Search title and note of node for search term.
# If found, highlight the search pattern.
reg = re.compile(pattern, re.IGNORECASE)
for node in neurota.db[topic][table]:
found_in_node = False
# This searches the title of the node.
if reg.search(node.item):
found_in_node = True
node.item = node.item.replace(
pattern, Tools.color(pattern, "green"))
# This searches the note of the node.
i = 0
for i in range(len(node.note)):
if reg.search(node.note[i]):
found_in_node = True
node.note[i] = node.note[i].replace(
pattern, Tools.color(pattern, "green"))
if found_in_node:
search_results.append(node)
if len(search_results) == 0:
print
Tools.display("Search pattern: %s not found in:" % pattern)
Display.show_table(topic, table, search_results, sort, times)
elif len(com) == 2 and com[0] == 'topics':
pattern = com[1]
reg = re.compile(pattern, re.IGNORECASE)
for k in neurota.db.keys():
if reg.search(k):
Display.show_topic(k)
def StringToType(argument):
i = 1
t = Display.TypeToString(i)
while t is not None:
if argument.strip().lower() == t.strip().lower():
return i
i += 1
t = Display.TypeToString(i)
return None
def show_single_photo():
if PhotoThread.photo_load_threads()[0].is_alive():
Output.debug("PLT is still running. Sleeping 0.5s before trying again.")
Display.root().after(500, show_single_photo)
return
Display.show_single_photo()
Output.debug("Display.show_single_photo() returned")
Settings.WAIT_FOR_BUTTON_PRESS = True
Settings.ON_BUTTON_PRESS = lambda: Settings.main_script.start()
def _checkRoll(roll, key):
updRoll = Game.randomRoll() if roll == None else int(roll)
if updRoll < 1 or updRoll > 6:
Display.error(
f'{hl(key)} value {NOT} valid: {updRoll}. Must be between {hl(1)} and {hl(6)}'
)
return None
else:
return updRoll
def elmination(self):
for player in self.players:
if player.stack == 0:
self.players.remove(player)
if len(self.players) == 1:
self.players[0].justWon = True
Display.displayGameState(self)
raw_input("Play again?")
self.__init__(*newGameParams)
def do_move(self, arg):
[player_name, roll1, roll2] = Commands._unpack(arg, 3)
player_label = hl(player_name)
if player_name in players:
roll1 = Commands._checkRoll(roll1, 'roll1')
roll2 = Commands._checkRoll(roll2, 'roll2')
if roll1 is not None and roll2 is not None:
Display.text(Game.action(player_name, roll1, roll2))
else:
Display.error(f'Player {player_label} {NOT} found')
def run(self):
Output.debug("PhotoLoadThread " + str(self.index) + " starting...")
# Load the photo
Output.debug("PhotoLoadThread " + str(self.index) + ": Opening...")
self.image = Image.open(self.filename)
Output.debug("PhotoLoadThread " + str(self.index) + ": Fitting...")
self.image = ImageOps.fit(self.image, (Display.image_size(self.fullsize), Display.image_size(self.fullsize)))
Output.debug("PhotoLoadThread " + str(self.index) + ": TKing...")
images()[self.index] = ImageTk.PhotoImage(self.image)
Output.debug("PhotoLoadThread " + str(self.index) + " finished.")
def __init__(self, parent=None):
super(self.__class__, self).__init__(parent)
self.setupUi(self)
self.centerOnScreen()
self.BTN_SelFolder.clicked.connect(self.browse_folder)
self.BTN_Process.clicked.connect(self.process_folder)
self.actionAuthors.triggered.connect(self.show_authors)
self.form2 = ProgressClass(self)
self.form3 = Display(self)
self.magic = magic.open(magic.MAGIC_MIME)
self.magic.load()
def __init__(self):
self.square = Square(SQUARE_X, SQUARE_Y, SQUARE_HEIGHT, SQUARE_WIDTH,
[0, 0], SQUARE_SPEED)
self.missiles = []
self.display = Display(SCREEN_WIDTH, SCREEN_HEIGHT)
self.done_game = True
self.done_all = False
self.time_between_missiles = TIME_BETWEEN_MISSILES
self.time_last_missile = 0
self.score = 0
self.client = Client()
def awardPot(self, winners):
potSplit = self.pot / len(winners)
potExtra = self.pot % len(winners)
for winner in winners:
winner.justWon = True
Display.displayGameState(self)
raw_input("Press ENTER to continue")
for winner in winners:
winner.justWon = False
winner.stack += potSplit
choice(winners).stack += potExtra
def load_machine_list():
Display.print_text("Get machines XML")
file_name = get_listxml_file_name()
if os.path.isfile(file_name) is False:
print("Creating", file_name)
fd = open(file_name, "w")
subprocess.run([Config.mame_binary, '-listxml'],
stdout=fd)
else:
print(file_name, "already exists")
def load_soft_list():
Display.print_text("Get software list XML")
file_name = get_softlist_file_name()
if os.path.isfile(file_name) is False:
print("Creating", file_name)
fd = open(file_name, "w")
subprocess.run([Config.mame_binary, '-getsoftlist'],
stdout=fd)
else:
print(file_name, "already exists")
def extract_roi(img, labels_to_keep=[1,2]):
label_img = segmentation.slic(img, compactness=30, n_segments=6)
labels = np.unique(label_img);print(labels)
gray = rgb2gray(img);
for label in labels:
if(label not in labels_to_keep):
logicalIndex = (label_img == label)
gray[logicalIndex] = 0;
Display.show_image(gray)
io.imsave("grayy.png", gray)
def __init__(self, id, name=None, parent=None):
Layout.Vertical.__init__(self, id, name, parent=parent)
self.inputContainer = self.addChildElement(Layout.Horizontal())
self.label = self.inputContainer.addChildElement(Display.Label())
self.fieldActions = self.inputContainer.addChildElement(Layout.Box())
self.addChildElementsTo = self.fieldActions
self.userInput = self.inputContainer.addChildElement(Base.Invalid())
errorContainer = self.addChildElement(Layout.Horizontal())
self.formError = errorContainer.addChildElement(
Display.FormError(id, parent=self))
def loose_search_machine_list(machine_list):
new_machine_list = []
for desc in Config.description:
found_qty = 2
for machine in machine_list:
if exact_search_machine(machine, desc) is True:
found_machine = machine
found_qty = 1
break
# Trying to find a single machine matching the most word in Config.description
desc_list = desc.split(' ')
word_qty = 0
while found_qty > 1:
# Build a search string from words in Config.description starting from last word and adding the previous one by one.
word_qty += 1
if word_qty > len(desc_list):
# Unable to find a single machine corresponding to all words in Config.description
found_qty = 0
break
# s = ".*"
s = ""
for j in range(-word_qty, 0):
s += desc_list[j]
s += ' '
# remove last ' '
search_string = s[:-1]
found_qty = 0
for machine in machine_list:
if loose_search_machine(machine, search_string) is True:
found_qty += 1
found_machine = machine
if found_qty > 1:
break
if found_qty == 1:
new_machine_list.append(found_machine)
Display.print_text("Loose search find " +
str(len(new_machine_list)) + " machines")
else:
print("No loose match for", search_string)
return new_machine_list
def newRound(self):
self.deck = Deck.Deck()
self.activePlayers = list(self.players)
for player in self.activePlayers:
player.hand = Deck.Hand(self.deck)
player.active = True
player.playerBet = 0
self.pot = 0
self.activeBet = 0
self.phase = 0
self.community = []
self.roundOver = False
Prediction.predictRound(self)
Display.displayGameState(self)
def add_next_tetromino(game):
""" Attempts to add a new tetromino for a game. If the tetromino cannot be added then the game is over """
global falling_tetrominoes
global board
new_tetromino = get_next_tetromino(game)
falling_tetrominoes.append(new_tetromino)
heuristic_queue.append(new_tetromino)
if tetromino_collides(new_tetromino, board):
return False # Game over
add_tetromino_to_display(new_tetromino)
Display.update_display(board_display)
return True
def __init__(self, id=None, name=None, parent=None):
Layout.Vertical.__init__(self, id + "NestedSelect", name, parent)
self.groupLabel = self.addChildElement(Display.Label())
self.groupSelect = self.addChildElement(Inputs.Select(id))
self.groupSelect.addJavascriptEvent(
'onclick', CallBack(self, "jsPopulateItemSelect"))
self.groupSelect.connect('selectionChanged', None, self, 'updateItems')
self.itemLabel = self.addChildElement(Display.Label())
self.itemSelect = self.addChildElement(Inputs.Select(id + "Items"))
self.groups = []
self.items = {}
def onClickWater(self):
arduinoControl.make_connection()
arduinoControl.ser.flushInput()
arduinoControl.flush_read()
#arduinoControl.water_cycle()
arduinoControl.water()
if arduinoControl.no_connection() is None:
Display.displayWarning(self, 'Arduino was unable to initialize.')
return
arduinoControl.wait(1)
start = time.time()
while time.time() - start < 2:
message = arduinoControl.read_message()
self.log('Water')
arduinoControl.close_connection()
def runSimulation(self):
if len(self.networkFrames.getInputNetworks()) > 0:
print "Recreating Input Network..."
# Set the initial configuration
start_frame = self.networkFrames.getInputNetworkAt(0)
for iteration in range(self.iterations):
print str(iteration+1),
focus_frame = start_frame.copy()
self.addGraphToSimulatedNetwork(focus_frame)
attempt_data_display = Display.display(False)
frame_number = 0
while frame_number < len(self.networkFrames.getInputNetworks())-1:
rewriting_event = None
attempts = 0
while rewriting_event is None:
extraction_subgraph = self.extraction.performExtraction(focus_frame)
rewriting_event = self.rewriting.performRewriting(extraction_subgraph)
attempts += 1
attempt_data_display.addInputValue(attempts)
self.networkFrames._decompress(focus_frame, rewriting_event)
self.addGraphToSimulatedNetwork(focus_frame)
frame_number += 1
self.storeSimulatedNetwork()
self.clearSimulatedNetwork()
self.UESFrequencyList.append(copy.deepcopy(self.rewriting.getDisplayData()))
self.rewriting.resetDataDisplay()
print "Done."
self.processSimulationData()
print "UES Mean BD: " + str(self.UES_BDMean)
print "UES Std BD: " + str(self.UES_BDStd)
#self.meanNetwork.writeSpecificGraphs("generatedOutputMeanNetwork.graphML", self.meanNetwork.getDecompressedFrames())
ues_display = Display.display(False)
ues_display.addInputValues([], self.UESFrequencyList[0].getHistInputData())
ues_display.addExperimentalValues([] ,self.UESMeanFrequencyList)
ues_display.UESBarPlot('Unique Extraction Subgraph Comparison', 'Times Selected', 'Subgraph Groups', self.UESMeanFrequencyList, self.UESStdFrequencyList, self.UES_BDMean)
self.bhattacharyyaDegreeDisplay.lineGraph("Bhattacharyya Distance - Cumulative Degree Distribution", "Time Step", "Bhattacharyya Distance", multiLine=True)
self.cumulativeDegreeDist.lineGraph("Cumulative Degree Distribution", "Degree (d)", "P(x >= d)")
self.densityDisplay.lineGraph("Graph Density", "Time Step", "Graph Density", legloc="upper right", multiLine=True)
self.avgShortestPathDisplay.lineGraph("Average Shortest Path Length", "Time Step", "Avg. Shortest Path", multiLine=True)
self.avgClusteringDisplay.lineGraph("Average Clustering", "Time Step", "Average Clustering", legloc= "upper right", multiLine=True)
def init(script_to_run):
"""Initializes the photo booth."""
global filename_schema, photo_thread
check_things()
filename_schema = "photos/this-should-not-happen---{}.jpg"
Settings.main_script = script_to_run
Settings.runs = 0
photo_thread = PhotoThread.PhotoThread()
GPIO.setmode(GPIO.BOARD)
GPIO.setup(Settings.GPIO, GPIO.IN)
GPIO.add_event_detect(Settings.GPIO, GPIO.RISING, callback=button_pressed, bouncetime=300)
Display.init(lambda: script_to_run.start())
def __init__(self):
self.network = NetworkFrames.NetworkFrames()
self.subgraphPair = []
self.leftSubgraphs = []
self.rightSubgraphs = []
self.uniqueExtractionSubgraphs = {}
self.firstRun = True
self.dataDisplay = Display.display(False)
self.utility = Utility.utility()
def __init__(self, playerObj, num): self.playerObj = playerObj self.menuObject = None self.maxRooms = num self.currRoomIndex = 0 for i in xrange(0, self.maxRooms): self.listRooms.append(Room(self, Display.returnRandomColor(), random.randint(0,1))) if self.numRooms > 1: self.addRoomToDungeon(self.listRooms[self.numRooms - 1]) for j in xrange(0, self.maxRooms): self.connectNeighboringRooms(self.listRooms[j])
def draw_everything(self):
self.display.fill(WHITE)
for ship in self.ship_list:
self.draw_ship(ship)
for bullet in self.bullet_list:
self.draw_bullet(bullet)
i = 0
while i < len(self.debris):
debra = self.debris[i]
loc = (debra[0][0] + debra[1][0], debra[0][1] + debra[1][1])
dur = debra[2] - 1
self.debris[i] = (loc, debra[1], dur, debra[3], debra[4], debra[5], debra[6], debra[7])
debra = self.debris[i]
Display.draw_circle(self.display, self.camera, debra[7], debra[0], int((debra[6]-debra[2])*debra[3]) + debra[4], debra[5])
if self.debris[i][2]<=0:
self.debris.remove(self.debris[i])
else:
i+=1
for wall in self.wall_list:
self.draw_wall(wall)
pygame.display.update()
def draw_ship(self, ship):
if not ship.isDead():
Display.draw_triangle(self.display, self.camera, BLACK, ship.location, ship.bounds, ship.direction, 2)
if ship.moved:
Display.draw_triangle_offset(self.display, self.camera, RED, (ship.location[0], ship.location[1]+ship.bounds[1]*3/2), (ship.bounds[0]/2, ship.bounds[1]/2), ship.direction-180, ship.location, 2)
if ship.shield_obj:
Display.draw_rect(self.display, self.camera, GREEN, ship.shield_obj, 2)
def next_step(self):
Settings.WAIT_FOR_BUTTON_PRESS = False
Settings.AFTER_ID = None
delay, command, additional, target_branch = self.lines[self.line]
self.line += 1
if self.line>=len(self.lines):
self.line = 0
if command=="text":
if target_branch is not None:
Settings.ON_BUTTON_PRESS = lambda: target_branch.start()
Settings.WAIT_FOR_BUTTON_PRESS = True
Display.display_text(additional)
elif command=="photo":
Output.debug("Photo! Number " + str(additional))
functions.call_photo_thread(additional)
elif command=="overview":
if target_branch is not None:
Settings.ON_BUTTON_PRESS = lambda: target_branch.start()
Settings.WAIT_FOR_BUTTON_PRESS = True
Display.show_overview()
elif command=="clear":
Display.clear()
elif command=="branch":
Display.root().after(delay, lambda: target_branch.start())
return
elif command=="wait":
Settings.ON_BUTTON_PRESS = self.next_step
Settings.WAIT_FOR_BUTTON_PRESS = True
return
elif command=="init_run":
functions.start_run(self)
return
# check if the next command is a "photo"
if self.lines[self.line][1]=="photo":
delay = max(delay - Settings.PHOTO_DELAY, 1)
if Settings.DEBUG_SHORT_DELAYS:
delay = delay / 100 + 1
#Output.debug("Waiting: " + str(delay))
Settings.AFTER_ID = Display.root().after(delay, self.next_step)
def __init__(self):
self.inputFrames = [] # List of graphs that have been added during simulation or read in from graphML
self.stateName = None # String name of state used in input graph
self.processedFrames = [] # List of graphs that the user has added with calculations performed on each frame
self.compressedFrames = [] # The compressed list of graphs with the initial graph and the subsequent differences
self.extractionSubgraphs = [] # List of LHS (left hand side) subgraphs that turn into the full compressed frame
self.decompressedFrames = [] # The uncompressed list of graphs generated from decompressing the compressed frames
self.graphML = nx.readwrite.graphml # The internal networkx graphML object
self.frameKey = 0 # The frame key used to created unique graph id's for the inputNetwork graphs
self.compressedFrameKey = 0 # The frame key used to created unique graph id's for the compressed graphs
self.decompressedFrameKey = 0 # The frame key used to created unique graph id's for the decompressed graphs
self.processedFrameKey = 0 # The frame key used to create unique graph id's for the processed graphs
self.extractionSubgraphKey = 0 # The subgraph key used to create unique graph id's for the extraction subgraphs
self.nodesAddedWhenEdgesData = Display.display(False)
def __init__ (self, lll, viewspace, mymap):
self.lll = lll
self.display = Display ()
self.viewspace = viewspace
self.mymap = mymap
self.terrainset = TerrainSet ()
# Test
self.settsurf = Surface ()
self.settsurf.loadFromFile ("gfx/protosettler.png")
self.settsurf.cols = 16
self.settsurf.rows = 16
self.sprites = []
def __init__(self):
self.network = NetworkFrames.NetworkFrames()
self.util = Utility.utility()
self.prev_extraction = Extraction.Extraction()
self.rewriting = Rewriting.Rewriting()
self.sample_num = 0
self.sample_motifs = []
self.extractionMap = []
self.extractionPool = {}
self.gtrieExtractionPool = {}
self.proportionalSelection = []
self.display = Display.display()
self.gtrie = GTrie.GTrie()
self.gtrie.createGTrieWithFour()
self.simulationgtrie = GTrie.GTrie()
self.usedRewritingRules = {}
self.avg_changes = 0.
def __init__(self, extraction, rewriting, utility, networkFrames):
self.iterations = 1
self. extraction = extraction
self.rewriting = rewriting
self.utility = utility
self.networkFrames = networkFrames
self.avgShortestPathDisplay = Display.display(True)
self.densityDisplay = Display.display(True)
self.nodesDisplay = Display.display(True)
self.edgesDisplay = Display.display(True)
self.avgClusteringDisplay = Display.display(True)
self.cumulativeDegreeDist = Display.display(True)
self.bhattacharyyaDegreeDisplay = Display.display()
self.simulationNetwork = []
self.simulationNetworkList = []
self.UESFrequencyList = []
self.UESMeanFrequencyList = []
self.UESStdFrequencyList = []
self.UES_BDList = []
self.AttemptList = []
self.BDMeanIndex = 0
self.UES_BDMean = 0.
self.UES_BDStd = 0.
self.simulationInputKey = 0
def _analyse(ui, fileUrls, algorithm):
global output
if len(fileUrls)!=0:
algorithmClass= _loadAlgorithmClass(algorithmsFolder,algorithm)()
if len(str(ui.qwtPlot.title().text()))==0:
ui.curveX, ui.curveY = preparePlot(ui, algorithm)
for fileUrl in fileUrls:
print fileUrl
video, i,j = cv2.VideoCapture(fileUrl), 0,0
ret, frame = video.read()
algorithmClass._initiateRegisters(frame)
display1 = Display(ui.label_17)
display2 = Display(ui.label_18)
display3 = Display(ui.label_7)
avaragePeriod, outlierDistance = ui.spinBox.value(), ui.spinBox_2.value()
opencvPreview = ui.checkBox_2.isChecked()
ui.resultDict = {}
while ret:
display1.display(frame)
algorithmClass.analyze(frame, avaragePeriod)
display2.display(algorithmClass.processedFrame)
frame2= algorithmClass.processedFrame
if not opencvPreview:
frame2 = np.zeros((100,100,3), dtype=np.uint8)
cv2.imshow("raw preview ", frame2)
if 0xFF & cv2.waitKey(5) == 27:
break
ret, frame = video.read()
if i%ui.spinBox.value()==0 and i>0:
ui.resultDict = algorithmClass.getResultDict(i, outlierDistance)
output.append(ui.resultDict)
#print "output len ", sys.getsizeof(output)
if j==0:
printAlgorithmResultsKeys(ui, j)
j+=1
i+=1
video.release()
config = Config.getConfig()
protocol = config.getString("login", "protocol")
#init the protocol we are going to use
Protocol.initProtocol( protocol )
protocol = Protocol.getProtocol()
#first get the cookie and id's
nick = config.getString( "login", "username" )
passwd = config.getString( "login", "password" )
events = Events.getEvents()
events.addListener( Display.getDisplay() )
events.addListener( SpamFilter.getInstance() )
#create the socket
sock = socket.socket( socket.AF_INET, socket.SOCK_STREAM )
sock.settimeout( 120.0 )
chatserver = config.getString( "login", "chatserver" )
chatport = config.getInt( "login", "chatport" )
#recreate the acl?
if sys.argv.count( "-newacl" ):
os.unlink( Acl.ACLFILE )
chatRoom = config.getString( "login", "chatroom" )
class Shift: # Define wPi GPIO SER = 0 # Valeur RCLK = 0 # Validateur SRCLK = 0 # Suivant display = 0 leds = [Led(), Led(), Led(), Led(), Led()] array = [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0]] def __init__(self, SER = 7, RCLK = 9, SRCLK = 8): #def __init__(self, SER = 1, RCLK = 16, SRCLK = 15): self.SER = SER self.RCLK = RCLK self.SRCLK = SRCLK wPi.wiringPiSetup() wPi.pinMode(self.SER, OUT) wPi.pinMode(self.RCLK, OUT) wPi.pinMode(self.SRCLK, OUT) self.loadDisplay() self.loadLeds() #self.leds = [0, 0, 0, 0, 0] ## LOADING ## def loadLeds(self): self.leds = [Led(), Led(), Led(), Led(), Led()] print "Leds initialized!" def loadDisplay(self): self.display = Display() self.clearDisplay() print "Display initialized!" def addLed(self, position, led): self.leds[position] = led ## SETTING LEDs COLORS ## ## One LED ## def setLedColor(self, led, color, state): if color == 'r' or color == 'red': self.setLedR(led, state) elif color == 'g' or color == 'green': self.setLedG(led, state) elif color == 'b' or color == 'blue': self.setLedB(led, state) def setLedColors(self, led, r, g, b): self.leds[led].setColors(r, g, b) def setLedR(self, led, r): self.leds[led].setR(r) def setLedG(self, led, g): self.leds[led].setG(g) def setLedB(self, led, b): self.leds[led].setB(b) def toggleLed(self, led): self.leds[led].toggleAll() def toggleLedColor(self, led, color): self.leds[led].toggleColor(color) self.apply() def applyLedColors(self, led): self.array[led] = self.leds[led].getColors() ## All LEDs ## def setLedsColors(self, r, g, b): for i in range(0, 5): self.leds[i].setColors(r, g, b) def setLedsR(self, state): for i in range(0, 5): self.leds[i].setR(state) def setLedsG(self, state): for i in range(0, 5): self.leds[i].setG(state) def setLedsB(self, state): for i in range(0, 5): self.leds[i].setB(state) def toggleLeds(self): for i in range(0, 5): self.leds[i].toggleAll() def toggleLedsColor(self, color): for i in range(0, 5): self.leds[i].toggleColor(color) def applyLedsColors(self): for i in range(0, 5): self.array[4-i] = list(self.leds[i].getColors()) ## SETTING DISPLAY ## def setNumber(self, x): self.array[5] = self.display.getNumber(x) if self.array == 0: print "Nombre saisi incorrect!" def setNumbers(self): return self.display.getNbSelected() def clearDisplaye(self): self.array[5] = self.display.clear() ## APPLY CHANGE ## def apply(self): wPi.digitalWrite(self.RCLK, DOWN) for j in reversed(self.array[5]): wPi.digitalWrite(self.SRCLK, DOWN) wPi.digitalWrite(self.SER, j) wPi.digitalWrite(self.SRCLK, UP) for i in range(0, 5): for j in reversed(self.array[i]): wPi.digitalWrite(self.SRCLK, DOWN) wPi.digitalWrite(self.SER, j) wPi.digitalWrite(self.SRCLK, UP) wPi.digitalWrite(self.RCLK, UP) ## CLEAR ## def clearDisplay(self): for i in range(0, 6): wPi.digitalWrite(self.RCLK, DOWN) for j in reversed(self.array[i]): wPi.digitalWrite(self.SRCLK, DOWN) wPi.digitalWrite(self.SER, DOWN) wPi.digitalWrite(self.SRCLK, UP) # print j, wPi.digitalWrite(self.RCLK, UP) #print "" print "Display cleaned!" def clearData(self): for i in range(0, 6): for j in reversed(self.array[i]): self.array[i][j] = 0 print "Data cleaned!" ## LOADINGS EFFETCS ## def loading(self, color): self.setLedColor(0, color, 1) self.applyLedsColors() self.apply() sleep(0.2) self.setLedColor(1, color, 1) self.applyLedsColors() self.apply() sleep(0.2) self.setLedColor(0, color, 0) self.setLedColor(2, color, 1) self.applyLedsColors() self.apply() sleep(0.2) self.setLedColor(1, color, 0) self.setLedColor(3, color, 1) self.applyLedsColors() self.apply() sleep(0.2) self.setLedColor(2, color, 0) self.setLedColor(4, color, 1) self.applyLedsColors() self.apply() sleep(0.2) self.setLedColor(3, color, 0) self.applyLedsColors() self.apply() sleep(0.2) self.setLedColor(4, color, 0) self.applyLedsColors() self.apply() sleep(0.2) def trimble(self): #self.clearData() #self.apply() color = ['r', 'g', 'b'] for i in range(0, 3): print 'Set ' + str(0) + ' to ' + str(1) print '' self.setLedColor(0, color[i], 1) self.setNumber(randint(0, 6)) self.applyLedsColors() self.apply() sleep(0.1) self.setNumber(randint(0, 6)) self.apply() sleep(0.1) print 'Set ' + str(1) + ' to ' + str(1) print '' self.toggleLedColor(1, color[i]) self.setNumber(randint(0, 6)) self.applyLedsColors() self.apply() sleep(0.1) self.setNumber(randint(0, 6)) self.apply() sleep(0.1) for j in range(2, 5): print 'Set ' + str(j-2) + ' to ' + str(0) print 'Set ' + str(j) + ' to ' + str(1) print '' self.toggleLedColor(j-2, color[i]) self.toggleLedColor(j, color[i]) self.setNumber(randint(0, 6)) self.applyLedsColors() self.apply() sleep(0.1) self.setNumber(randint(0, 6)) self.apply() sleep(0.1) print 'Set ' + str(3) + ' to ' + str(0) print '' self.toggleLedColor(3, color[i]) self.setNumber(randint(0, 6)) self.applyLedsColors() self.apply() sleep(0.1) self.setNumber(randint(0, 6)) self.apply() sleep(0.1) print 'Set ' + str(4) + ' to ' + str(0) self.toggleLedColor(4, color[i]) self.setNumber(randint(0, 6)) self.applyLedsColors() self.apply() sleep(0.1) #
def send( self, sock ):
"""override send to display the pm"""
Packet.send( self, sock )
Display.getDisplay().pmTo( self.destination, self.statement )
def loadDisplay(self): self.display = Display() self.clearDisplay() print "Display initialized!"
import Display
import pygame
pygame.init()
screen = Display.pywindow(500, 500, 'Snake', 'None', backColor = (0,0,255))
screen.updateSysstat()
screen.updateScreen()
thing = Display.gameObject(True, False, 10, 10, 0, 0, 'minecraft_icon.bmp',(0,0,0))
while True:
screen.update()
def test_backlight():
say('testing backlight')
Display.set_cursor_position(0,2)
Display.write('Backlight ')
Display.rgb(255,0,0)
time.sleep(1)
Display.rgb(0,255,0)
time.sleep(1)
Display.rgb(0,0,255)
time.sleep(1)
for i in range(0, 360):
Display.hue(i/360.0)
time.sleep(0.01)
for i in range(0, 360):
Display.sweep(i/360.0)
time.sleep(0.01)
Display.rgb(255,255,255)
Display.set_cursor_position(0,2)
Display.write(' ')
def test_lights():
say('Testing lights')
Display.set_cursor_position(0,2)
Display.write('Lights ')
say('Lamp 0 on')
Display.set_cursor_position(0,2)
Display.write('Lamp 0 On ')
Lights.set_lamp(0, 1)
time.sleep(3)
say('Lamp 1 on')
Display.set_cursor_position(0,2)
Display.write('Lamp 1 On ')
Lights.set_lamp(1, 1)
time.sleep(3)
say('Lamp 2 on')
Display.set_cursor_position(0,2)
Display.write('Lamp 2 On ')
Lights.set_lamp(2, 1)
time.sleep(3)
say('Lamp 3 on')
Display.set_cursor_position(0,2)
Display.write('Lamp 3 On ')
Lights.set_lamp(3, 1)
time.sleep(3)
say('Lamp 0 off')
Display.set_cursor_position(0,2)
Display.write('Lamp 0 Off ')
Lights.set_lamp(0, 0)
say('Lamp 1 off')
Display.set_cursor_position(0,2)
Display.write('Lamp 1 Off ')
Lights.set_lamp(1, 0)
say('Lamp 2 off')
Display.set_cursor_position(0,2)
Display.write('Lamp 2 Off ')
Lights.set_lamp(2, 0)
say('Lamp 3 off')
Display.set_cursor_position(0,2)
Display.write('Lamp 3 Off')
Lights.set_lamp(3, 0)
Display.set_cursor_position(0,2)
Display.write(' ')
def generateTrainingSamples(ui):
if ui.listWidget_6.count() >0:
display1 = Display(ui.label_17)
#load the selected algorithms
algorithms={}#, samples ={},{}
outputTrainingDataName =''
for i in range(ui.listWidget_6.count()):
algorithmName = str(ui.listWidget_6.item(i).text().replace('.py',''))
algorithm = _loadAlgorithmClass(algorithmsFolder, algorithmName)()
algorithms[algorithmName] = algorithm
#outputTrainingDataName+=str(algorithmName+'#')
period = ui.spinBox.value()
#print algorithms
trainingSamples, responses =[], []
for key in algorithms.keys():
#iterate through environments
for n in range(ui.listWidget_2.count()):
environment = str(ui.listWidget_2.item(n).text())
#iterate through environment sample videos
filmUrlList = ui.filmSamples[environment]
for filmUrl in filmUrlList:
print filmUrl
video, i = cv2.VideoCapture(filmUrl), 0
ret, frame = video.read()
#initiate the analysis algorithms
for algorithmName in algorithms.keys():
algorithms[algorithmName]._initiateRegisters(frame)
#iterate via frames in a film sample
while ret:
i += 1
display1.display(frame)
#for each algorithm
sample =[]
#for key in algorithms.keys():
algorithms[key].analyze(frame, period)
if i % period==0:
#distX, distY = algorithms[key].getDistribution(period)
#weightCenter = algorithms[key].getWeightCenter(distX[1], distY[1])
#sample = algorithms[key].getCharacteristicPointsVector()
#sample.append(weightCenter[0])
#sample.append(weightCenter[1])
if ui.radioButton_2.isChecked():
sample = np.array(algorithms[key].keyPointsVector).astype(np.float32)
#samples[environment].append(sample)
else:
sample=algorithms[key].keyPointsVector
trainingSamples.append(sample)
responses.append(n)
ret, frame = video.read()
if ui.radioButton_2.isChecked():
fileName = 'data/trainingData/'+ key +'.dat'
with open(fileName, "w") as f:
print "Saved to ", fileName
pickle.dump([trainingSamples,responses],f)
else:
fileName = 'data/trainingData/'+key+ '.txt'
with open(fileName, "w") as f:
print "Saved to ", fileName
f.write(str(trainingSamples)+"\nRESPONSES\n"+str(responses))
def test_bargraph():
say('testing bargraph')
Display.set_cursor_position(0,2)
Display.write('Bargraph ')
for intensity in range (0,100):
Display.set_graph(intensity/100.0)
time.sleep(.01)
for intensity in range (100,0,-1):
Display.set_graph(intensity/100.0)
time.sleep(.01)
Display.set_cursor_position(0,2)
Display.write(' ')
def _perform_action(self, action, playerObj, menuObject):
if action == MOVE_LEFT:
playerObj.moveLeft = True
playerObj.direction = 'left'
elif action == MOVE_RIGHT:
playerObj.moveRight = True
playerObj.direction = 'right'
elif action == MOVE_DOWN:
playerObj.moveDown = True
playerObj.direction = 'down'
elif action == MOVE_UP:
playerObj.moveUp = True
playerObj.direction = 'up'
elif action == NO_MOVE_LEFT:
playerObj.moveLeft = False
elif action == NO_MOVE_RIGHT:
playerObj.moveRight = False
elif action == NO_MOVE_DOWN:
playerObj.moveDown = False
playerObj.currentWeapon.spriteObj.resetSpriteList()
elif action == NO_MOVE_UP:
playerObj.moveUp = False
elif action == NORMAL_ATTACK:
playerObj.isAttacking = 1
elif action == NO_NORMAL_ATTACK:
playerObj.isAttacking = 0
elif action == RANGED_ATTACK:
if playerObj.arrows > 0:
playerObj.arrows -= 1
print "Firing!"
playerObj.rangedWeapon.shoot()
else:
print "No arrows!"
elif action == CONTINIOUS_RANGED_ATTACK:
if pygame.time.get_ticks() > playerObj.lastFired + 500 and playerObj.arrows > 0:
playerObj.rangedWeapon.shoot()
playerObj.lastFired = pygame.time.get_ticks()
playerObj.arrows -= 1
else:
if playerObj.arrows < 1:
print "No arrows!"
else:
print "Notching arrow!"
elif action == SWITCH_WEAPON:
playerObj.cycleWeapon()
elif action == USE_POTION:
playerObj.usePotion()
elif action == PICKUP_OBJECT:
playerObj.pickup = True
if functions.playerInventory:
playerObj.isTrading = True
elif action == NO_PICKUP_OBJECT:
playerObj.pickup = False
playerObj.isTrading = False
elif action == OPEN_MENU:
self._log.debug('Opening menu')
menuObject.activateText()
elif action == PAUSE_GAME:
if functions.paused:
self._log.debug('Resuming game')
functions.paused = False
else:
self._log.debug('Pausing game')
functions.paused = True
elif action == TAKE_SCREENSHOT:
self._log.info('Taking screenshot')
functions.screenshot()
elif action == SET_FULLSCREEN:
if Display.is_fullscreen:
self._log.debug('Exiting fullscreen')
Display.resetWindow()
Display.is_fullscreen = 0
else:
self._log.debug('Entering fullscreen')
Display.fullscreen()
Display.is_fullscreen = 1
elif action == RESTART_MATCH:
self._log.info('Restarting match')
playerObj.isDead = True
elif action == QUIT_GAME:
self._log.info('Quitting game')
functions.terminate()
def runMotifSimulation(self, motifSize):
if len(self.networkFrames.getInputNetworks()) > 0:
print "Recreating Input Network..."
# Set the initial configuration
self.extraction.generateExtractionTree()
startFrame = self.networkFrames.getInputNetworkAt(0)
bargraph = Display.display()
for iteration in range(self.iterations):
print str(iteration+1),
focusFrame = startFrame.copy()
self.addGraphToSimulatedNetwork(focusFrame)
attemptDataDisplay = Display.display(False)
motifSizeList = self.extraction.getMotifSizeList()
frameNumber = 0
while frameNumber < len(self.networkFrames.getInputNetworks())-1:
numchanges = 0
targetchanges = self.networkFrames.getNumberOfChanges(frameNumber+1)/motifSize
self.extraction.generateGTrieExtractionPool(focusFrame)
self.extraction.clearUsedRewritingRules()
self.extraction.resetRewritingRuleExclusionList()
self.extraction.generateProportionalSelectionData()
self.extraction.generateSampleComparisonData()
while self.extraction.getSizeOfExtractionSubgraphGTrieMatch() > 0 and numchanges < targetchanges:
rewritingRule = None
extractionSubgraph = None
while rewritingRule == None:
extractionSubgraph = self.extraction.chooseExtractionSubgraphGTrie(focusFrame)
rewritingRule = self.extraction.selectRewritingRuleGTrie(extractionSubgraph)
if rewritingRule == None:
self.extraction.removeExtractionSubgraphGTrieMatch(extractionSubgraph)
if self.extraction.getSizeOfExtractionSubgraphGTrieMatch() == 0:
break
if rewritingRule == None:
continue
self.extraction.addUsedRewritingRules(rewritingRule)
self.networkFrames._decompress(focusFrame, rewritingRule)
numchanges += 1
#comparison = self.extraction.getComparisonData()
#bargraph.barCompare("Extraction Subgraph Compare", "Extraction Subgraph", "Frequency", comparison[0], comparison[1])
print "Number of changes: " + str(numchanges)
self.extraction.displayUsedRewritingRuleGraph()
self.addGraphToSimulatedNetwork(focusFrame)
frameNumber+=1
self.storeSimulatedNetwork()
self.clearSimulatedNetwork()
self.UESFrequencyList.append(copy.deepcopy(self.rewriting.getDisplayData()))
self.rewriting.resetDataDisplay()
print "Done."
self.processSimulationData()
print "UES Mean BD: " + str(self.UES_BDMean)
print "UES Std BD: " + str(self.UES_BDStd)
#self.meanNetwork.writeSpecificGraphs("generatedOutputMeanNetwork.graphML", self.meanNetwork.getDecompressedFrames())
UES_Display = Display.display(False)
UES_Display.addInputValues([],self.UESFrequencyList[0].getHistInputData())
UES_Display.addExperimentalValues([],self.UESMeanFrequencyList)
#UES_Display.UESBarPlot('Unique Extraction Subgraph Comparison', 'Times Selected', 'Subgraph Groups',self.UESMeanFrequencyList, self.UESStdFrequencyList, self.UES_BDMean)
self.bhattacharyyaDegreeDisplay.lineGraph("Bhattacharyya Distance - Cumulative Degree Distribution", "Time Step", "Bhattacharyya Distance",multiLine=True)
#self.cumulativeDegreeDist.loglogPlot("Cumulative Degree Distribution", "Degree (d)", "P(x >= d)", legloc="upper right",multiLine=False)
self.densityDisplay.lineGraph("Graph Density", "Time Step", "Graph Density", legloc="upper right",multiLine=True)
self.nodesDisplay.lineGraph("Number of Nodes", "Time Step", "Num Nodes", legloc="upper right", multiLine=True)
self.edgesDisplay.lineGraph("Number of Edges","Time Step", "Num Edges", legloc="upper right", multiLine=True)
self.avgShortestPathDisplay.lineGraph("Average Shortest Path Length", "Time Step", "Avg. Shortest Path",multiLine=True)
self.avgClusteringDisplay.lineGraph("Average Clustering", "Time Step", "Average Clustering",legloc="upper right",multiLine=True)
