Doppelte / Redundante Unittests entfernt
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+4
-29
@@ -267,7 +267,7 @@ class Anlage():
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"""
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"""
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def __init__(self, tol_snap=200.0, snap_step=10.0, tol_connect=1000.0, tol_connect_step=50.0):
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def __init__(self, tol_snap=200.0, snap_step=10.0, tol_connect=5000.0, tol_connect_step=50.0):
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# Container für alle Racks
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# Container für alle Racks
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self._racks = RackIDs(tol_snap=tol_snap)
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self._racks = RackIDs(tol_snap=tol_snap)
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# zuordnung zwischen KnotenID und Punkt
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# zuordnung zwischen KnotenID und Punkt
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@@ -744,7 +744,7 @@ class TestPlant(unittest.TestCase):
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self.assertEqual(plist1, [Point(0, 0), Point(0, 10)])
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self.assertEqual(plist1, [Point(0, 0), Point(0, 10)])
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self.assertEqual(plist2, [Point(0, 0), Point(0,1), Point(0, 10)])
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self.assertEqual(plist2, [Point(0, 0), Point(0,1), Point(0, 10)])
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def test_add_equipment_w_tree(self):
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def test_add_equipment_str_tree(self):
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racks = {'Rack_1': [Point(0, 0), Point(0, 10)],
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racks = {'Rack_1': [Point(0, 0), Point(0, 10)],
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'Rack_2': [Point(10, -2), Point(10, 5)],
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'Rack_2': [Point(10, -2), Point(10, 5)],
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@@ -774,29 +774,6 @@ class TestPlant(unittest.TestCase):
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self.assertEqual(plist2, [Point(10, -2), Point(10, 0), Point(10, 2), Point(10, 3), Point(10, 5)])
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self.assertEqual(plist2, [Point(10, -2), Point(10, 0), Point(10, 2), Point(10, 3), Point(10, 5)])
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def test_wegsuche_str_tree(self):
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def test_wegsuche_str_tree(self):
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# Beispiel-Daten
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points = [Point(x, y) for x, y in [(1, 2), (3, 4), (5, 5), (7, 8)]]
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lines = [LineString([(0, 1), (2, 3)]), LineString([(4, 4), (6, 6)]), LineString([(8, 8), (10, 10)])]
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# STRtree erstellen mit tatsächlichen LineStrings
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tree = STRtree(lines)
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# Zuordnung
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nearest_line_for_point = {}
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for point in points:
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candidates = tree.query(point) # Gibt direkt LineStrings zurück
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if not candidates:
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continue
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candidates = [lines[idx] for idx in candidates]
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nearest_line = min(candidates, key=lambda line: line.distance(point))
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nearest_line_for_point[point] = nearest_line
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# Ausgabe
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for point, line in nearest_line_for_point.items():
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print(f"Punkt {point} liegt am nächsten zu Linie {line}")
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def test_wegsuche_w_tree(self):
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racks = {'Rack_1-0': [Point(0, 0), Point(0, 10)],
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racks = {'Rack_1-0': [Point(0, 0), Point(0, 10)],
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'Rack_2-0': [Point(10, -2), Point(10, 5)],
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'Rack_2-0': [Point(10, -2), Point(10, 5)],
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'Rack_2-1': [Point(0, 3), Point(10, 3)]}
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'Rack_2-1': [Point(0, 3), Point(10, 3)]}
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@@ -884,7 +861,7 @@ class TestPlant(unittest.TestCase):
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nx.draw(G3, pos, with_labels=False, node_size=10, font_size=8, edge_color=edge_colors)
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nx.draw(G3, pos, with_labels=False, node_size=10, font_size=8, edge_color=edge_colors)
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plt.show()
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plt.show()
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def test_Wegsuche(self):
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''' Erstellt Graphen mit Racks, Sensoren und Unterverteilern und sucht kürzeste Wege von Unterverteiler zu zugehörigen Sensoren'''
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''' Erstellt Graphen mit Racks, Sensoren und Unterverteilern und sucht kürzeste Wege von Unterverteiler zu zugehörigen Sensoren'''
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rack_segs = {'Rack_1': [Point(0, 0), Point(0, 10)],
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rack_segs = {'Rack_1': [Point(0, 0), Point(0, 10)],
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@@ -951,11 +928,9 @@ if __name__ == '__main__':
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suite.addTest(TestPlant('test_ids_to_point'))
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suite.addTest(TestPlant('test_ids_to_point'))
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suite.addTest(TestPlant('test_add_point_interim'))
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suite.addTest(TestPlant('test_add_point_interim'))
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suite.addTest(TestPlant('test_add_sensor'))
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suite.addTest(TestPlant('test_add_sensor'))
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suite.addTest(TestPlant('test_add_equipment_w_tree'))
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suite.addTest(TestPlant('test_add_equipment_str_tree'))
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suite.addTest(TestPlant('test_wegsuche_str_tree'))
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suite.addTest(TestPlant('test_wegsuche_str_tree'))
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suite.addTest(TestPlant('test_wegsuche_w_tree'))
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suite.addTest(TestPlant('test_generate_graph'))
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suite.addTest(TestPlant('test_generate_graph'))
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suite.addTest(TestPlant('test_Wegsuche'))
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runner = unittest.TextTestRunner()
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runner = unittest.TextTestRunner()
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runner.run(suite)
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runner.run(suite)
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#unittest.main()
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#unittest.main()
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