def makeMap(rows, cols, numBats, numBombs):
world_map = []
# Neighboring Coordinates
# (-1,-1) (0,-1) (1,-1)
# (-1, 0) robot (1, 0)
# (-1, 1) (0, 1) (1, 1)
adj_x = [-1,0,1,-1,1,-1,0,1]
adj_y = [-1,-1,-1,0,0,1,1,1]
numNeighbors = len(adj_x)
# Randomly pick a starting location for the robot
startingLoc = [randint(0, cols-1), randint(0, rows-1)]
# List to hold all of the world map pieces
world_map = [[WorldSquare([x, y],0,0,False,0) for y in range(rows)] for x in range(cols)]
# Place numBombs number of bombs randomly
for i in range(numBombs):
bomb_x = randint(0, cols - 1)
bomb_y = randint(0, rows - 1)
# Bombs cannot be placed in squares bordering the starting location
while (abs(startingLoc[0] - bomb_x) <= 1 and abs(startingLoc[1] - bomb_y) <= 1) or world_map[bomb_x][bomb_y].bomb:
bomb_x = randint(0, cols - 1)
bomb_y = randint(0, rows - 1)
world_map[bomb_x][bomb_y].placeBomb() # Add bomb
#print "Bomb location: (%d, %d)" % (bomb_x, bomb_y)
# Place numBatteries number of batteries randomly
batsPlaced = 0
while batsPlaced < numBats:
bat_x = randint(0, cols - 1)
bat_y = randint(0, rows - 1)
if not (bat_x == startingLoc[0] and bat_y == startingLoc[1]):
world_map[bat_x][bat_y].placeBat(randint(5, 10)) # Add battery
print "Bat location: (%d, %d)" % (bat_x, bat_y)
batsPlaced += 1
# for i in range(numBats):
# bat_x = randint(0, cols - 1)
# bat_y = randint(0, rows - 1)
#
# world_map[bat_x][bat_y].placeBat(randint(2, 5)) # Add battery
# print "Bat location: (%d, %d)" % (bat_x, bat_y)
startingMap = WorldMap(world_map, startingLoc, numBombs, numBats, rows, cols)
# update adjacent bomb and battery counts
for r in range(rows):
for c in range(cols):
if world_map[c][r].bomb:
neighbors = startingMap.getNeighbors([c, r])
for neighbor in neighbors:
if not neighbor.bomb:
neighbor.addAdjBomb()
if world_map[c][r].battery:
neighbors = startingMap.getNeighbors([c, r])
for neighbor in neighbors:
neighbor.addAdjBat()
startingMap.printMap()
analysis("Numb bombs = " + str(numBombs))
return startingMap
(etf, 'etf'),
(fon, 'fon')],
papers)
dept_qual_G = departments_qualitative.create_graph([(matf, 'matf'),
(etf, 'etf'),
(fon, 'fon')], papers)
mag_G = magazines.create_graph(papers, name_dict)
conf_G = conferences.create_graph(papers, name_dict)
etf_G = school.create_graph('etf', etf, papers, 'crimson')
matf_G = school.create_graph('matf', matf, papers, 'skyblue')
fon_G = school.create_graph('fon', fon, papers, 'teal', flag=True)
fon_is_G = school.create_graph('fon is', fon, papers, 'teal',
'Katedra za informacione sisteme')
fon_si_G = school.create_graph('fon si', fon, papers, 'lightseagreen',
'Katedra za softversko inzenjerstvo')
fon_it_G = school.create_graph('fon it', fon, papers, 'cadetblue',
'Katedra za informacione tehnologije')
util.analysis(dept_G, 'dept', True)
util.analysis(dept_qual_G, 'dept_qual', True)
util.analysis(mag_G, 'mag', False)
util.analysis(conf_G, 'conf', False)
util.analysis(etf_G, 'etf', False)
util.analysis(matf_G, 'matf', False)
util.analysis(fon_G, 'fon', True)
util.analysis(fon_is_G, 'fon_is', False)
util.analysis(fon_si_G, 'fon_si', False)
util.analysis(fon_it_G, ' fon_it', False)
def mapSize(self):
size = self.rows*self.cols
analysis(size)
