def __init__(self, grid, settings):
"""
:param grid: All types of cells to be inserted into the map.
:param settings: Constant values provided when generating a level/map.
"""
self.grid = grid
self.settings = settings
self._spawn_location_finder = SpawnLocationFinder(self)
def __init__(self):
self._spawn_location_finder = SpawnLocationFinder(self)
self._cell_cache = {}
[self.get_cell(Location(x, y)) for x in range(5) for y in range(5)]
self.updates = 0
self.num_avatars = None
self.settings = defaultdict(lambda: 0)
def test_potential_spawns(self):
spawnable1 = MockCell()
spawnable2 = MockCell()
score_cell = MockCell(generates_score=True)
unhabitable = MockCell(habitable=False)
filled = MockCell(avatar='avatar')
grid = self._grid_from_list([[spawnable1, score_cell, unhabitable],
[unhabitable, spawnable2, filled]])
world_map = WorldMap(grid, self.settings)
spawn_location_finder = SpawnLocationFinder(world_map)
cells = list(spawn_location_finder.potential_spawn_locations())
self.assertIn(spawnable1, cells)
self.assertIn(spawnable2, cells)
self.assertNotIn(score_cell, cells, "Score cells should not be spawns")
self.assertNotIn(unhabitable, cells, "Unhabitable cells should not be spawns")
self.assertNotIn(filled, cells, "Cells with avatars should not be spawns")
self.assertEqual(len(cells), 2)
class WorldMap(object):
"""
The non-player world state.
"""
def __init__(self, grid, settings):
"""
:param grid: All types of cells to be inserted into the map.
:param settings: Constant values provided when generating a level/map.
"""
self.grid = grid
self.settings = settings
self._spawn_location_finder = SpawnLocationFinder(self)
@classmethod
def _min_max_from_dimensions(cls, height, width):
"""
The value provided by the user will be an integer both for the width and height
components. We calculate the maximum and minimum dimensions in all directions.
"""
max_x = int(math.floor(width / 2))
min_x = -(width - max_x - 1)
max_y = int(math.floor(height / 2))
min_y = -(height - max_y - 1)
return min_x, max_x, min_y, max_y
@classmethod
def generate_empty_map(cls, height, width, settings):
new_settings = DEFAULT_LEVEL_SETTINGS.copy()
new_settings.update(settings)
(min_x, max_x, min_y, max_y) = WorldMap._min_max_from_dimensions(height, width)
grid = {}
for x in range(min_x, max_x + 1):
for y in range(min_y, max_y + 1):
location = Location(x, y)
grid[location] = Cell(location)
return cls(grid, new_settings)
def all_cells(self):
return self.grid.values()
def interactable_cells(self):
return (cell for cell in self.all_cells() if cell.interactable)
def score_cells(self):
return (
cell
for cell in self.all_cells()
if isinstance(cell.interactable, ScoreLocation)
)
def pickup_cells(self):
return (
cell
for cell in self.all_cells()
if isinstance(cell.interactable, ALL_PICKUPS)
)
def is_on_map(self, location):
try:
self.grid[location]
except KeyError:
return False
return True
def get_cell(self, location) -> Cell:
try:
return self.grid[location]
except KeyError:
# For backwards-compatibility, this throws ValueError
raise ValueError("Location %s is not on the map" % location)
def get_cell_by_coords(self, x, y):
return self.get_cell(Location(x, y))
def clear_cell_actions(self, location):
try:
cell = self.get_cell(location)
cell.actions = []
except ValueError:
return
def max_y(self):
return max(self.grid.keys(), key=lambda c: c.y).y
def min_y(self):
return min(self.grid.keys(), key=lambda c: c.y).y
def max_x(self):
return max(self.grid.keys(), key=lambda c: c.x).x
def min_x(self):
return min(self.grid.keys(), key=lambda c: c.x).x
@property
def num_rows(self):
return self.max_y() - self.min_y() + 1
@property
def num_cols(self):
return self.max_x() - self.min_x() + 1
@property
def num_cells(self):
return self.num_rows * self.num_cols
def can_move_to(self, target_location):
if not self.is_on_map(target_location):
return False
cell = self.get_cell(target_location)
return (
cell.habitable
and (not cell.is_occupied or cell.avatar.is_moving)
and len(cell.moves) <= 1
)
def attackable_avatar(self, target_location):
"""
Return a boolean if the avatar is attackable at the given location (or will be
after next move), else return None.
"""
try:
cell = self.get_cell(target_location)
except ValueError:
return None
if cell.avatar:
return cell.avatar
if len(cell.moves) == 1:
return cell.moves[0].avatar
return None
def get_no_fog_distance(self):
return self.settings["NO_FOG_OF_WAR_DISTANCE"]
def get_partial_fog_distance(self):
return self.settings["PARTIAL_FOG_OF_WAR_DISTANCE"]
def get_random_spawn_location(self):
return self._spawn_location_finder.get_random_spawn_location()
def __repr__(self):
return repr(self.grid)
def __iter__(self):
return (
(
self.get_cell(Location(x, y))
for y in range(self.min_y(), self.max_y() + 1)
)
for x in range(self.min_x(), self.max_x() + 1)
)
# Serialisation Utilities
def get_serialized_south_west_corner(self):
"""
Used in serialising the map size when sent to the front end. Very lightweight as
it consists of two integers.
:return: A dictionary with two values, x and y coordinates for the bottom left
(south-west) corner of the map.
"""
return {"x": self.min_x(), "y": self.min_y()}
def get_serialized_north_east_corner(self):
"""
Used in serialising the map size when sent to the front end. Very lightweight as
it consists of two integers.
:return: A dictionary with two values, x and y coordinates for the top right
(north-west) corner of the map.
"""
return {"x": self.max_x(), "y": self.max_y()}
def serialize_score_location(self):
"""
Used to serialize the score locations on every update.
:return: A single list that contains all score locations. Within
the list there are x and y coordinates.
"""
def get_coords(cell):
return {"location": {"x": cell.location.x, "y": cell.location.y}}
return [
get_coords(cell)
for cell in self.all_cells()
if isinstance(cell.interactable, ScoreLocation)
]
def serialize_obstacles(self):
"""
Used to serialize the obstacle locations on every update.
:return: A list that contains all the obstacle information generated by inner method.
"""
def serialize_obstacle(cell):
return {
"location": {"x": cell.location.x, "y": cell.location.y},
"width": 1,
"height": 1,
"type": "wall",
"orientation": "north",
}
return [
serialize_obstacle(cell) for cell in self.all_cells() if not cell.habitable
]
class WorldMap(object):
"""
The non-player world state.
"""
def __init__(self, grid, settings):
"""
:param grid: All types of cells to be inserted into the map.
:param settings: Constant values provided when generating a level/map.
"""
self.grid = grid
self.settings = settings
self._spawn_location_finder = SpawnLocationFinder(self)
@classmethod
def _min_max_from_dimensions(cls, height, width):
"""
The value provided by the user will be an integer both for the width and height
components. We calculate the maximum and minimum dimensions in all directions.
"""
max_x = int(math.floor(width / 2))
min_x = -(width - max_x - 1)
max_y = int(math.floor(height / 2))
min_y = -(height - max_y - 1)
return min_x, max_x, min_y, max_y
@classmethod
def generate_empty_map(cls, height, width, settings):
new_settings = DEFAULT_LEVEL_SETTINGS.copy()
new_settings.update(settings)
(min_x, max_x, min_y, max_y) = WorldMap._min_max_from_dimensions(height, width)
grid = {}
for x in range(min_x, max_x + 1):
for y in range(min_y, max_y + 1):
location = Location(x, y)
grid[location] = Cell(location)
return cls(grid, new_settings)
def all_cells(self):
return self.grid.values()
def score_cells(self):
return (c for c in self.all_cells() if c.generates_score)
def pickup_cells(self):
return (c for c in self.all_cells() if c.pickup)
def is_on_map(self, location):
try:
self.grid[location]
except KeyError:
return False
return True
def get_cell(self, location):
try:
return self.grid[location]
except KeyError:
# For backwards-compatibility, this throws ValueError
raise ValueError('Location %s is not on the map' % location)
def get_cell_by_coords(self, x, y):
return self.get_cell(Location(x, y))
def clear_cell_actions(self, location):
try:
cell = self.get_cell(location)
cell.actions = []
except ValueError:
return
def max_y(self):
return max(self.grid.keys(), key=lambda c: c.y).y
def min_y(self):
return min(self.grid.keys(), key=lambda c: c.y).y
def max_x(self):
return max(self.grid.keys(), key=lambda c: c.x).x
def min_x(self):
return min(self.grid.keys(), key=lambda c: c.x).x
@property
def num_rows(self):
return self.max_y() - self.min_y() + 1
@property
def num_cols(self):
return self.max_x() - self.min_x() + 1
@property
def num_cells(self):
return self.num_rows * self.num_cols
def update(self, num_avatars):
self._update_avatars()
self._update_map(num_avatars)
def _update_avatars(self):
self._apply_score()
self._apply_pickups()
def _apply_pickups(self):
for cell in self.pickup_cells():
if cell.avatar is not None:
cell.pickup.apply(cell.avatar)
def _apply_score(self):
for cell in self.score_cells():
try:
cell.avatar.score += 1
except AttributeError:
pass
def _update_map(self, num_avatars):
context = MapContext(num_avatars=num_avatars)
MapExpander().update(self, context=context)
ScoreLocationUpdater().update(self, context=context)
PickupUpdater().update(self, context=context)
def can_move_to(self, target_location):
if not self.is_on_map(target_location):
return False
cell = self.get_cell(target_location)
return (cell.habitable
and (not cell.is_occupied or cell.avatar.is_moving)
and len(cell.moves) <= 1)
def attackable_avatar(self, target_location):
"""
Return a boolean if the avatar is attackable at the given location (or will be
after next move), else return None.
"""
try:
cell = self.get_cell(target_location)
except ValueError:
return None
if cell.avatar:
return cell.avatar
if len(cell.moves) == 1:
return cell.moves[0].avatar
return None
def get_no_fog_distance(self):
return self.settings['NO_FOG_OF_WAR_DISTANCE']
def get_partial_fog_distance(self):
return self.settings['PARTIAL_FOG_OF_WAR_DISTANCE']
def get_random_spawn_location(self):
return self._spawn_location_finder.get_random_spawn_location()
def __repr__(self):
return repr(self.grid)
def __iter__(self):
return ((self.get_cell(Location(x, y))
for y in range(self.min_y(), self.max_y() + 1))
for x in range(self.min_x(), self.max_x() + 1))
# Serialisation Utilities
def get_serialised_south_west_corner(self):
"""
Used in serialising the map size when sent to the front end. Very lightweight as
it consists of two integers.
:return: A dictionary with two values, x and y coordinates for the bottom left
(south-west) corner of the map.
"""
return {
"x": self.min_x(),
"y": self.min_y(),
}
def get_serialised_north_east_corner(self):
"""
Used in serialising the map size when sent to the front end. Very lightweight as
it consists of two integers.
:return: A dictionary with two values, x and y coordinates for the top right
(north-west) corner of the map.
"""
return {
"x": self.max_x(),
"y": self.max_y(),
}
def score_location_update(self):
"""
Used to serialise the score locations on every update.
:return: A dictionary with a single list that contains all score locations. Within
the list there are x and y coordinates.
"""
def _generate_score_locations_list():
"""
Generates a list of all individual score locations to be further placed into
an outer wrapper dictionary for serialisation.
"""
serialised_list = []
score_cells = (c for c in self.all_cells() if c.generates_score)
for score_cell in score_cells:
serialised_list.append({
'location': {
'x': score_cell.location.x,
'y': score_cell.location.y,
},
})
return serialised_list
score_locations = _generate_score_locations_list()
return {
'scoreLocations': score_locations,
}
def obstacles_update(self):
"""
Used to serialise the obstacle locations on every update.
:return: A dictionary with a single list that contains all the obstacle
information generated by inner method.
"""
def _generate_obstacle_list():
"""
Generates a list of all obstacle locations into a list that can be then
further wrapped in a dictionary for serialisation.
"""
serialised_list = []
obstacle_cells = (cell for cell in self.all_cells() if not cell.habitable)
for obstacle_cell in obstacle_cells:
serialised_list.append({
'location': {
'x': obstacle_cell.location.x,
'y': obstacle_cell.location.y,
},
'width': 1,
'height': 1,
'type': "wall",
'orientation': "north",
})
return serialised_list
obstacle_locations = _generate_obstacle_list()
return {
'obstacles': obstacle_locations,
}
