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synced 2025-06-18 10:42:53 +02:00
no more tiles no more floor
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@ -4,17 +4,17 @@ import networkx as nx
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import numpy as np
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def points_to_graph(coordiniates_or_tiles, allow_euclidean_connections=True, allow_manhattan_connections=True):
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def points_to_graph(coordiniates, allow_euclidean_connections=True, allow_manhattan_connections=True):
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"""
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Given a set of coordinates, this function contructs a non-directed graph, by conncting adjected points.
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There are three combinations of settings:
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Allow all neigbors: Distance(a, b) <= sqrt(2)
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Allow only manhattan: Distance(a, b) == 1
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Allow only euclidean: Distance(a, b) == sqrt(2)
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Allow only Euclidean: Distance(a, b) == sqrt(2)
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:param coordiniates_or_tiles: A set of coordinates.
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:type coordiniates_or_tiles: Tiles
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:param coordiniates: A set of coordinates.
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:type coordiniates: Tuple[int, int]
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:param allow_euclidean_connections: Whether to regard diagonal adjected cells as neighbors
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:type: bool
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:param allow_manhattan_connections: Whether to regard directly adjected cells as neighbors
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@ -24,9 +24,7 @@ def points_to_graph(coordiniates_or_tiles, allow_euclidean_connections=True, all
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:rtype: nx.Graph
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"""
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assert allow_euclidean_connections or allow_manhattan_connections
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if hasattr(coordiniates_or_tiles, 'positions'):
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coordiniates_or_tiles = coordiniates_or_tiles.positions
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possible_connections = itertools.combinations(coordiniates_or_tiles, 2)
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possible_connections = itertools.combinations(coordiniates, 2)
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graph = nx.Graph()
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for a, b in possible_connections:
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diff = np.linalg.norm(np.asarray(a)-np.asarray(b))
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