Added first (still a tad ugly) draft of pathfinding. Added some small bits of documentation. Started working on unit tests (planettest.py).
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2 changed files with 66 additions and 6 deletions
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@ -25,12 +25,24 @@ Weight = int
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'''
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https://www.python.org/dev/peps/pep-0289/
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Node checking:
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Node checking examples:
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((0,0),Direction.NORTH) in planetmap[0]
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Simplify this for node search:
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next(x for (x, y), direction in planetmap[0])
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next(y for x, y in planetmap[0] if x == (0, 0))
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planetmap[0][next((x, y) for x, y in planetmap[0] if y == 'North')]
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formatting example of bidirectional map:
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{
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(0, 0): {
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<Direction.EAST: 90>: ((0, 0), <Direction.WEST: 270>, 1),
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<Direction.WEST: 270>: ((0, 0), <Direction.EAST: 90>, 1),
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<Direction.NORTH: 0>: ((0, 1), <Direction.SOUTH: 180>, 2)
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},
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(0, 1): {
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<Direction.SOUTH: 180>: ((0, 0), <Direction.NORTH: 0>, 2)
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}
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}
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'''
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#Contains the representation of the map and provides certain functions to manipulate it according to the specifications
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@ -54,6 +66,32 @@ class Planet:
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def get_paths(self) -> Dict[Tuple[int, int], Dict[Direction, Tuple[Tuple[int, int], Direction, Weight]]]:
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return self._planetmap
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#Returns a shortest path between two nodes
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'''
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Returns a shortest path between two nodes.
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Used Algorithm: Dijkstra's Algorithm, will be "replaced" by A* later
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Formatting:
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List = [(total_len, (current_node, [((node), Direction)]))]
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'''
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def shortest_path(self, start: Tuple[int, int], target: Tuple[int, int]) -> Optional[List[Tuple[Tuple[int, int], Direction]]]:
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pass
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if((start in self._planetmap) and (target in self._planetmap)):
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self.path_found = []
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self.path_search = [(0, (start, []))]
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while True:
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for srcdir, (destnode, destdir, weight) in self._planetmap[self.path_search[0][1][0]].items():
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if(destnode not in self.path_found and weight > 0): # check if in shortest_found
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for x, (s_node, s_pathlist) in self.path_search:
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if (destnode == s_node and self.path_search[0][0] + weight < x):
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self.path_search.remove((x, (s_node, s_pathlist)))
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if(s_weight for s_weight, (s_node, s_pathlist) in self.path_search if s_node == destnode):
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self.path_search.append((self.path_search[0][0]+weight, (destnode, self.path_search[0][1][1] + [(self.path_search[0][1][0], srcdir)])))
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self.path_found.append(self.path_search[0][1][0])
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self.path_search.pop(0)
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if(self.path_search == []): # if map is empty
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break
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self.path_search.sort()
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if(self.path_search[0][1][0] == target):
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return self.path_search[0][1][1]
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else:
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print("Destination is not reachable from start.")
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else:
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print("Cannot calculate shortest Path. Start or target is not in known.")
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@ -45,17 +45,39 @@ class YourFirstTestPlanet(unittest.TestCase):
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MODEL YOUR TEST PLANET HERE (if you'd like):
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(_target)
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+-0,3-----2,3 +---+
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| | | | |
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| 0,2-----2,2-3,2 |
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| | / | |
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| 0,1 / +---+
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| | /
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+-0,0-1,0-----3.0-4.0
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(start)
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"""
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# set your data structure
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self.planet = Planet()
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# ADD YOUR PATHS HERE:
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# self.planet.add_path(...)
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self.planet.add_path(((0, 0), Direction.NORTH), ((0, 1), Direction.SOUTH), 1)
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self.planet.add_path(((0, 0), Direction.EAST), ((1, 0), Direction.WEST), 1)
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self.planet.add_path(((0, 0), Direction.WEST), ((0, 3), Direction.WEST), 2)
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self.planet.add_path(((0, 1), Direction.NORTH), ((0, 2), Direction.SOUTH), 1)
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self.planet.add_path(((0, 2), Direction.NORTH), ((0, 3), Direction.SOUTH), 1)
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self.planet.add_path(((0, 2), Direction.EAST), ((2, 2), Direction.WEST), 2)
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self.planet.add_path(((0, 3), Direction.EAST), ((2, 3), Direction.WEST), -1)
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self.planet.add_path(((1, 0), Direction.NORTH), ((2, 2), Direction.SOUTH), 2)
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self.planet.add_path(((1, 0), Direction.EAST), ((3, 0), Direction.WEST), 1)
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self.planet.add_path(((2, 2), Direction.NORTH), ((2, 3), Direction.SOUTH), 3)
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self.planet.add_path(((3, 0), Direction.EAST), ((4, 0), Direction.WEST), -1)
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self.planet.add_path(((3, 2), Direction.NORTH), ((3, 2), Direction.SOUTH), 1)
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def test_integrity(self):
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# were all paths added correctly to the planet
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# check if add_path() works by using get_paths()
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self.fail('implement me!')
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self.planet.get_paths()
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def test_empty_planet(self):
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self.fail('implement me!')
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