def __init__(self,
eps=1e-5,
city='Amherst, Massachusetts, USA',
network_type='drive',
timeout=100):
'''
Parameters:
eps (float): epsilon value for the inverse grade calculation
city (str): city of the map
network_type (str): type of the map
timeout (int): timeout for path finding algorithm
'''
self._eps = eps # parameter for the inverse calculation
self.pathFinder = PathFinder(timeout)
# get map data graph for some city
self.G = ox.graph_from_place(city, network_type=network_type)
self.min_x = float('inf')
self.max_x = -float('inf')
self.min_y = float('inf')
self.max_y = -float('inf')
for node in self.G.nodes:
nd = self.G.nodes[node]
if nd['x'] > self.max_x:
self.max_x = nd['x']
if nd['x'] < self.min_x:
self.min_x = nd['x']
if nd['y'] > self.max_y:
self.max_y = nd['y']
if nd['y'] < self.min_y:
self.min_y = nd['y']
args = sys.argv[1:]
try:
if args:
if os.path.exists(args[0]):
# Starting time of the script
startTime = time.time()
# Intantiate a new Parser
Parser = MatrixParser()
# Parse the matrix from the file given
matrix = Parser.getFileMatrix(args[0])
# Intantiate a new Path Finder
Finder = PathFinder(matrix["rows"], matrix["columns"], matrix["content"])
# Get the longest (and steepest path)
path = Finder.getLongestDescendentPath()
# Execution time
executionTime = time.time() - startTime
print(
json.dumps(
{"ok": True, "result": path, "executionTime": executionTime},
ensure_ascii=False,
)
)
else:
raise FileNotFoundError(f"File {args[0]} does not exist")
def __init__(self):
self.move_speed = 3
self.path_finder = PathFinder()
