def load_obstacle_file(self, file_name: str):
"""
Reads in a JSON file and stores the obstacle data in the scene.
The file must consist of one JSON object with keys 'obstacles', 'exits', and 'entrances'
Every key must have a list of instances, each having a 'name', a 'begin' and a 'size'.
Note that sizes are fractions of the scene size. A size of 0 is converted to 1 size unit.
:param file_name: file name string of the JSON file
:return: None
"""
with open(file_name, 'r') as json_file:
data = json.loads(json_file.read())
margin = self.config['general'].getfloat('margin')
cell_size = None
if self.snap_obstacles:
cell_size = np.array([self.config['general'].getfloat('cell_size_x'),
self.config['general'].getfloat('cell_size_y')])
for obstacle_data in data["obstacles"]:
begin = Point(self.size * obstacle_data['begin'])
size = Size(self.size * obstacle_data['size'])
name = obstacle_data["name"]
self.obstacle_list.append(Obstacle(begin, size, name, margin, cell_size=cell_size))
if len(data['exits']) == 0:
raise AttributeError('No exits specified in %s' % file_name)
for exit_data in data['exits']:
begin = Point(self.size * exit_data['begin'])
size = self.size.array * np.array(exit_data['size'])
name = exit_data["name"]
cap = 0
if 'cap' in exit_data:
cap = exit_data['cap'] * self.dt
if cap < 1:
ft.warn("Exit cap of %.2f per time step is too low low; must exceed 1.0")
for dim in range(2):
if size[dim] == 0.:
size[dim] = 1.
exit_obs = Exit(cap=cap, begin=begin, size=Size(size), name=name, margin=margin, cell_size=cell_size)
self.exit_list.append(exit_obs)
self.obstacle_list.append(exit_obs)
for entrance_data in data['entrances']:
begin = Point(self.size * entrance_data['begin'])
size = self.size.array * np.array(entrance_data['size'])
name = entrance_data["name"]
spawn_rate = 2 * self.dt
max_pedestrians = 8000
start_time = 0
if 'spawn_rate' in entrance_data:
spawn_rate = entrance_data['spawn_rate'] * self.dt
if max_pedestrians in entrance_data:
max_pedestrians = entrance_data['max_pedestrians']
if 'start_time' in entrance_data:
start_time = entrance_data['start_time']
for dim in range(2):
if size[dim] == 0.:
size[dim] = 1.
entrance_obs = Entrance(begin=begin, size=Size(size), name=name, margin=margin,spawn_rate=spawn_rate,
max_pedestrians=max_pedestrians, start_time=start_time, cell_size=cell_size)
self.entrance_list.append(entrance_obs)
self.obstacle_list.append(entrance_obs)
if len(data['entrances']):
self.on_step_functions.append(self.create_new_pedestrians)
def _prepare(self):
if not self.visual_backend and not self.store_positions:
functions.warn(
"No results are logged. Ensure you want a headless simulation."
)
# The order in which the following effects are added is important.
for population in self.populations:
self.on_step_functions.append(population.step)
if 'repulsion' in self.effects:
self.on_step_functions.append(self.effects['repulsion'].step)
if 'fire' in self.effects:
self.on_step_functions.append(self.effects['fire'].step)
self.on_step_functions.append(self.scene.move)
if 'separation' in self.effects:
self.on_step_functions.append(self.effects['separation'].step)
self.on_step_functions.append(self.scene.correct_for_geometry)
self.on_step_functions.append(self.scene.find_finished)
if self.store_positions:
self.on_step_functions.append(self.logger.step)
if self.visual_backend:
self.vis = VisualScene(self.scene)
self.on_step_functions.append(self.vis.loop)
else:
self.vis = NoVisualScene(self.scene)
if self.inflow:
self.on_step_functions.append(self._add_new_pedestrian_sometimes)
self.vis.step_callback = self.step
self.vis.finish_callback = self.finish
self.scene.on_pedestrian_exit_functions.append(self._check_percentage)
if self.params.max_time > 0:
self.scene.on_pedestrian_exit_functions.append(
self._check_max_time)
def _compute_initial_interface(self):
"""
Compute the initial zero interface; a potential field with zeros on exits
and infinity elsewhere. Stores inside object.
This method also validates exits. If no exit is found, the method raises an error.
:return: None
"""
self.initial_interface = np.ones(self.grid_dimension) * np.inf
valid_exits = {goal: False for goal in self.scene.exit_list}
goals = self.scene.exit_list
for i, j in np.ndindex(self.grid_dimension):
cell_center = Point([(i + 0.5) * self.dx, (j + 0.5) * self.dy])
for goal in goals:
if cell_center in goal:
self.initial_interface[i, j] = 0
valid_exits[goal] = True
self.exit_cell_set.add((i, j))
for obstacle in self.scene.obstacle_list:
if not obstacle.accessible:
if cell_center in obstacle:
# self.initial_interface[i,j] = np.inf
self.obstacle_cell_set.add((i, j))
if not any(valid_exits.values()):
raise RuntimeError("No cell centers in exit. Redo the scene")
if not all(valid_exits.values()):
ft.warn("%s not properly processed" % "/"
.join([repr(goal) for goal in self.scene.exit_list if not valid_exits[goal]]))
def __init__(self, args):
np.seterr(all='raise')
functions.VERBOSE = args.verbose
self.scene = None
self.step_functions = []
self.on_pedestrian_exit_functions = []
self.on_pedestrian_init_functions = []
self.finish_functions = []
config = configparser.ConfigParser()
has_config = config.read(args.config_file)
if not has_config:
raise FileNotFoundError("Configuration file %s not found" % args.config_file)
functions.EPS = config['general'].getfloat('epsilon')
self.config = config
if args.obstacle_file:
config['general']['obstacle_file'] = args.obstacle_file
# Initialization scene
if args.number >= 0:
config['general']['number_of_pedestrians'] = str(args.number)
if args.configuration == 'uniform':
self.scene = scene_module.Scene(config=config)
elif args.configuration == 'top':
self.scene = TopScene(barrier=0.8, config=config)
elif args.configuration == 'center':
self.scene = ImpulseScene(impulse_location=(0.5, 0.6), impulse_size=8, config=config)
elif args.configuration == 'bottom':
self.scene = TwoImpulseScene(impulse_locations=[(0.5, 0.4), (0.4, 0.2)], impulse_size=8, config=config)
if not self.scene:
raise ValueError("No scene has been initialized")
# Initialization planner
planner = Planner(self.scene)
self.step_functions.append(planner.step)
if args.store_positions:
# filename = input('Specify storage file\n')
import re
filename = re.search('/([^/]+)\.json', config['general']['obstacle_file']).group(1)
functions.log("Storing positions results in '%s%s'" % (config['general']['result_dir'], filename))
self.step_functions.append(lambda: self.store_positions_to_file(filename))
self.finish_functions.append(lambda: self.store_position_usage(filename))
self.finish_functions.append(self.store_exit_logs)
if args.results:
results = Result(self.scene)
self.step_functions.append(results.on_step)
self.on_pedestrian_exit_functions.append(results.on_pedestrian_exit)
self.on_pedestrian_init_functions.append(results.on_pedestrian_entrance)
self.finish_functions.append(results.on_finish)
if not args.kernel:
self.vis = VisualScene(self.scene)
if args.step:
self.vis.disable_loop()
else:
self.step_functions.append(self.vis.loop)
else:
if not (args.store_positions or args.results):
functions.warn("No results are logged. Ensure you want a headless simulation.")
self.vis = NoVisualScene(self.scene)
self.scene.on_pedestrian_exit_functions += self.on_pedestrian_exit_functions
self.scene.on_pedestrian_init_functions += self.on_pedestrian_init_functions
self.vis.step_callback = self.step
self.vis.finish_callback = self.finish
