def __init__(self, maze_env, archive, genome, population):
# The record store for evaluated maze solver agents
self.record_store = agent.AgentRecordStore()
# The initial maze simulation environment
self.orig_maze_environment = maze_env
# The NoveltyItem archive
self.archive = archive
# The initial genome
self.genome = genome
# The current population of robot genomes
self.population = population
def __init__(self, maze_env, population):
"""
Creates new instance and initialize fileds.
Arguments:
maze_env: The maze environment as loaded from configuration file.
population: The population for this trial run
"""
# The initial maze simulation environment
self.orig_maze_environment = maze_env
# The record store for evaluated maze solver agents
self.record_store = agent.AgentRecordStore()
# The NEAT population object
self.population = population
help='The height of the plot figure')
parser.add_argument('--show_axes',
type=bool,
default=False,
help='The flag to indicate whether to show plot axes.')
args = parser.parse_args()
local_dir = os.path.dirname(__file__)
if not (args.maze == 'medium' or args.maze == 'hard'):
print('Unsupported maze configuration: %s' % args.maze)
exit(1)
# read maze environment
maze_env_config = os.path.join(local_dir, '%s_maze.txt' % args.maze)
maze_env = maze.read_environment(maze_env_config)
# read agents records
rs = agent.AgentRecordStore()
rs.load(args.records)
# render visualization
random.seed(42)
draw_maze_records(maze_env,
rs.records,
width=args.width,
height=args.height,
fig_height=args.fig_height,
view=True,
show_axes=args.show_axes,
filename=args.output)