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from __future__ import division
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import time
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import copy
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import libtcodpy as libtcod
import random
from utilities import Rect
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try: import numpypy
except ImportError: pass
import numpy as np
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import objects
class Tile(object):
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def __init__(self, x,y, blocked, block_sight=None):
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self.blocked = blocked
self.explored = False
if block_sight is None:
block_sight = blocked
self.block_sight = block_sight
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class AutomataEngine(object):
def __init__(self, width=None, height=None, data=None, randomize=True):
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if data is not None:
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self.data = data
elif randomize:
self.data = [ [ random.choice([0]+[1]*3) for y in range(height)] for x in range(width) ]
else:
self.data = [ [1 for y in range(height)] for x in range(width) ]
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#self.data = np.array(self.data)
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self.width = width
self.height = height
def get_rect(self, p1, p2):
x1,y1 = p1
x2,y2 = p2
x1,x2 = min([x1,x2]), max([x1,x2])
y1,y2 = min([y1,y2]), max([y1,y2])
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#result = self.data[x1:x2,y1:y2]
result = [ row[y1:y2] for row in self.data[x1:x2] ]
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return result
def sum_area(self, p1, p2=None, summator=sum):
rect = p1
if isinstance(p2, int):
x,y = rect
rect = self.get_rect( (x-p2,y-p2), (x+p2,y+p2) )
elif p2 is not None:
rect = self.get_rect(p1,p2)
return summator( summator(row) for row in rect )
def iter_with_coords(self):
for x,row in enumerate(self.data):
for y,cell in enumerate(row):
yield x,y,cell
def munge(self):
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tmp_data = np.array(self.data)
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for x,row in enumerate(self.data):
for y,cell in enumerate(row):
tmp_data[x][y] = self.rule(x,y, cell)
return self.__class__(data=tmp_data)
def iter(self, num):
result = self
for x in range(num):
result = self.munge()
return result
def to_map(self):
data = [[0]*len(self.data[0]) for _ in self.data]
for x,y,cell in self.iter_with_coords():
data[x][y] = Tile(x,y, cell in {1,2}, cell == 1)
return data
class MazeGen(AutomataEngine):
def __init__(self, width=None, height=None, data=None, randomize=True, num_rooms=12, max_width=15, max_height=15, **kw):
kw['randomize'] = False
AutomataEngine.__init__(self, width, height, data, **kw)
points = [ (random.randrange(self.width), random.randrange(self.height))
for _ in range(num_rooms)
]
connections = []
for p in points:
p2 = random.choice(points)
while p == p2:
p2 = random.choice(points)
connections.append( (p,p2) )
for p,p2 in connections:
self.connect_points(p,p2, 9)
self.rooms = []
self.expand_rooms(points, max_width, max_height)
def connect_points(self, p1, p2, steps=4):
x1,y1 = p1
x2,y2 = p2
steps = random.randrange(2, steps+1)
cx, cy = x1,y1
h_steps = random.randrange(1,steps) # always at least one vstep
v_steps = steps - h_steps
while (cx,cy) != (x2,y2):
if h_steps > 0 and random.random() < .5:
dx = int(x2-cx)//(h_steps)
stop = cx+dx
a = min([stop,cx])
b = max([stop,cx])
for x in range(a,b):
self.data[x][cy] = 0
h_steps -= 1
cx = stop
elif v_steps > 0:
dy = int(y2-cy)//(v_steps)
stop = cy+dy
a = min([stop,cy])
b = max([stop,cy])
for y in range(a,b):
self.data[cx][y] = 0
v_steps -= 1
cy = stop
elif cx != x2:
stop = x2
a = min([stop,cx])
b = max([stop,cx])
for x in range(a,b+1):
self.data[x][cy] = 0
elif cy != y2:
stop = y2
a = min([stop,cy])
b = max([stop,cy])
for y in range(a,b+1):
self.data[cx][y] = 0
else:
print 'ouch'
break
def expand_rooms(self, points, max_width, max_height):
for point in points:
left_offset = random.randrange(int(max_width/2))
up_offset = random.randrange(int(max_height/2))
cx, cy = point
lx, ty = cx-left_offset, cy-up_offset
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if lx < 0:
max_width += lx
lx = 0
if ty < 0:
max_height += ty
ty = 0
w, h = random.randrange(1,max_width+1), random.randrange(1, max_height+1)
if lx + w >= self.width:
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w -= (lx+w) - self.width
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if ty + h >= self.height:
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h -= (ty+h) - self.height
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print '(',lx,ty, ')', w, h
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room = Rect(lx,ty, w,h)
success = True
for o_room in self.rooms:
success = not o_room ^ room
if success:
self.rooms.append(room)
def rule(self, x,y, cell):
for room in self.rooms:
if (x,y) in room:
return 0
return cell
def munge(self):
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tmp_data = np.array(self.data)
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for x,row in enumerate(self.data):
for y,cell in enumerate(row):
tmp_data[x][y] = self.rule(x,y, cell)
return AutomataEngine(data=tmp_data)
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class AutomataLoader(AutomataEngine):
def load_rules(self):
self.rules = yaml.load(
file(
os.path.join('.', 'data', 'mapgenerator.yml')
)
)
def parse_rule(self, rule):
comp, val = rule.split('->')
val = val.strip()
if comp == 'is':
if val == 'odd':
return lambda a: (a%2)==1
elif val == 'even':
return lambda a: (a%2)==0
else:
return lambda a: a == int(val)
else:
val = int(val)
if comp.startswith('>'):
if comp.startswith('>='):
return lambda a: a >= val
return lambda a: a > val
elif comp.startswith('<'):
if comp.startswith('<='):
return lambda a: a <= val
return lambda a: a < val
elif comp.startswith('=='):
return lambda a: a == val
def rule(self, x,y, cell):
sum = self.sum_area((x,y), 1)
for rule in self.rules:
rule, _, result = rule.partition('::')
if parse_rule(rule)(cell):
if hasattr(result, 'upper') and result.lower()=='cell':
result = cell
return result
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class Automata1(AutomataEngine):
def rule(self, x,y, cell):
sum = self.sum_area( (x,y), 1 ) - cell
if cell == 0 and sum > 3:
return 0
elif sum > 5:
return 1
elif sum in {2,3}:
return cell
else:
return 0
#elif sum <= 1:
# return 1
#else:
# return cell
class Smoother(AutomataEngine):
def rule(self, x,y, cell):
sum = self.sum_area( (x,y), 1 )
if sum <= 1 and cell == 1:
return 0
if sum == 8 and cell == 0:
return 1
else:
return cell
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class NewSmoother(AutomataEngine):
def rule(self, x,y, cell):
avg = self.sum_area( (x,y), 2 ) / 16
if avg < .5:
return 0
else:
return 1
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import collections
class Map(collections.MutableSequence):
def __init__(self, width, height, con, level):
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print 'hello again'
self.gen = MazeGen(width, height)
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self.map = self.data = self.gen.munge()
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#self.data = Automata1(data=self.data.data).iter(2)
#self.map = Smoother(data=self.data.data).munge()
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self.data = self.map.to_map()
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self.width = width
self.height = height
self.con = con
self.level = level
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self.player = None
self._map_entrance = None
@property
def map_entrance(self):
if self._map_entrance:
return self._map_entrance
else:
return 0,0
@map_entrance.setter
def map_entrance(self, val):
assert not self.is_blocked(*val)
self._map_entrance = val
#def enter(self, player):
# self.player = player
# return self
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def __iter__(self):
return iter(self.data)
def __len__(self):
return len(self.data)
def __contains__(self, it):
return it in self.data
def __getitem__(self, k):
return self.data[k]
def __setitem__(self, k,v):
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self.data[k] = v
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def __delitem__(self, k):
del self.data[k]
def iter_cells_with_coords(self):
'''NOTE: row is a list, col an instance of Tile'''
for x,row in enumerate(self):
for y,cell in enumerate(row):
yield (x,y,cell)
def insert(self, *a):
self.data.insert(*a)
def populate_map(self, max_rooms, min_size, max_size, monster_types, max_num_monsters, item_types, max_num_items):
rooms = []
num_rooms = 0
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print '\n'.join(''.join(map(str, row)) for row in self.map.data)
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for x in range(self.width):
for y in range(self.height):
if x in {0,self.width-1} or y in {0,self.height-1}:
self[x][y].blocked = True
self[x][y].block_sight = True
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start_room = self.gen.rooms[0]
x,y = start_room.random_point
while self.is_blocked(x,y):
x,y = start_room.random_point
self.map_entrance = x,y
self.place_items(self.gen.rooms[0], item_types, max_num_items)
for r in self.gen.rooms[1:]:
self.place_objects(r,
monster_types, max_num_monsters,
item_types, max_num_items
)
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return self
def create_room(self, room):
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for x in range(room.x1, room.x2+1):
for y in range(room.y1, room.y2+1):
if x in {room.x1,room.x2} or y in {room.y1,room.y2}:
self[x][y] = Tile(x,y, True)
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def create_h_tunnel(self, x1, x2, y):
for x in range(min(x1,x2), max(x1, x2)+1):
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self[x][y] = Tile(x,y, False)
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def create_v_tunnel(self, x, y1, y2):
for y in range(min(y1,y2), max(y1, y2)+1):
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self[x][y] = Tile(x,y, False)
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def is_blocked(self, x,y):
if self[x][y].blocked:
return True
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for obj in self.level.iter_objects():
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if obj.blocks and obj.x == x and obj.y == y:
return True
return False
def choose_empty_point(self, room):
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empty_points = [p for p in room.iter_cells() if not self.is_blocked(*p)]
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result = None,None
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if empty_points:
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result = random.choice(empty_points)
return result
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def place_objects(self, room, monster_types, max_num_monsters, item_types, max_num_items):
self.place_monsters(room, monster_types, max_num_monsters)
self.place_items(room, item_types, max_num_items)
def place_monsters(self, room, monster_types, max_num):
num_monsters = random.randrange(1, max_num)
for i in range(num_monsters):
choice = choose_obj(monster_types)
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print 'chosen monster: %s' % choice,
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if choice:
x,y = self.choose_empty_point(room)
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if x is not None and y is not None:
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result = choice(self, self.level, self.con, x,y)
print result.name, result.fighter.hp, result.fighter.power, result.fighter.defense, x,y,
print
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def place_items(self, room, item_types, max_num):
num_items = random.randrange(0, max_num)
for i in range(num_items):
item_type = choose_obj(item_types)
if item_type:
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x,y = self.choose_empty_point(room)
if x is not None and y is not None:
self.level.add_object(
objects.Object(self,
self.con, x,y, item_type.char, item_type.name, item_type.color,
item=item_type(),
)
).send_to_back()
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def choose_obj(chance_dict):
tot = float(
sum(chance_dict.values())
)
accum = 0
result = None
rand = random.randrange(100)
for choice, chance in chance_dict.items():
if choice:
accum += (chance/tot) * 100
if rand < accum:
result = choice
break
return result
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