From 15f1255fd25c00f9d92e02cbe9a95115ada8113c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Laura=20Kl=C3=BCnder?= <laura@codingcatgirl.de>
Date: Mon, 19 Dec 2016 16:46:10 +0100
Subject: [PATCH] remoove unneded file (router.py)

---
 src/c3nav/routing/router.py | 50 -------------------------------------
 1 file changed, 50 deletions(-)
 delete mode 100644 src/c3nav/routing/router.py

diff --git a/src/c3nav/routing/router.py b/src/c3nav/routing/router.py
deleted file mode 100644
index cfce82e9..00000000
--- a/src/c3nav/routing/router.py
+++ /dev/null
@@ -1,50 +0,0 @@
-import numpy as np
-from scipy.sparse import csr_matrix
-from scipy.sparse.csgraph import shortest_path
-
-
-class Router():
-    def __init__(self):
-        self.points = []
-        self.points_pk = None
-
-        self.transfer_points = set()
-        self.shortest_paths = None
-        self.predecessors = None
-
-        self._built = False
-
-    # noinspection PyTypeChecker
-    def build(self, points, global_routing=False):
-        if self._built:
-            raise RuntimeError('already built.')
-        self._built = True
-
-        self.points = points
-        self.points_pk = dict(zip(self.points, range(len(self.points))))
-        matrix = np.zeros((len(self.points), len(self.points)))
-
-        for point, pk in self.points_pk.items():
-            for to_point, connection in point.connections.items():
-                if to_point not in self.points_pk:
-                    continue
-                matrix[pk, self.points_pk[to_point]] = connection.distance
-            if global_routing:
-                for to_point, distance in point.in_room_transfer_distances.items():
-                    matrix[pk, self.points_pk[to_point]] = distance
-
-        g_sparse = csr_matrix(np.ma.masked_values(np.fromstring(matrix).reshape(matrix.shape), 0))
-        self.shortest_paths, self.predecessors = shortest_path(g_sparse, return_predecessors=True)
-
-        if not global_routing:
-            for from_point in self.transfer_points:
-                from_point.in_room_transfer_distances = {}
-                connections = self.shortest_paths[self.points_pk[from_point], ]
-                for to_point_pk in np.argwhere(connections != np.inf).flatten():
-                    to_point = self.points[to_point_pk]
-                    if to_point not in self.transfer_points:
-                        continue
-                    from_point.in_room_transfer_distances[to_point] = connections[to_point_pk]
-
-    def get_distance(self, from_point, to_point):
-        return self.shortest_paths[self.points_pk[from_point], self.points_pk[from_point]]