FrankE
a203305628
- changed the wifi-estimation api - adjusted test-cases - worked on grid-bulding and grid-importance - new walking modules - fixed some minor issues
82 lines
2.8 KiB
C++
82 lines
2.8 KiB
C++
#ifdef WITH_TESTS
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#include "../../Tests.h"
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#include "../../../sensors/radio/model/WiFiModelLogDistCeiling.h"
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TEST(LogDistanceCeilingModel, calc) {
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// dummy floorplan
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Floorplan::Floor* f0 = new Floorplan::Floor(); f0->atHeight = 0;
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Floorplan::Floor* f1 = new Floorplan::Floor(); f1->atHeight = 3;
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Floorplan::Floor* f2 = new Floorplan::Floor(); f2->atHeight = 7;
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Floorplan::IndoorMap map;
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map.floors.push_back(f0);
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map.floors.push_back(f1);
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map.floors.push_back(f2);
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//LocatedAccessPoint ap0("00:00:00:00:00:00", Point3(0,0,0));
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//LocatedAccessPoint ap25("00:00:00:00:00:00", Point3(0,0,2.5));
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WiFiModelLogDistCeiling model(&map);
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const MACAddress ap0 = MACAddress("00:00:00:00:00:00");
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const MACAddress ap25 = MACAddress("00:00:00:00:00:01");
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model.addAP(ap0, WiFiModelLogDistCeiling::APEntry( Point3(0,0,0), -40, 1.0, -8.0 ));
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model.addAP(ap25, WiFiModelLogDistCeiling::APEntry( Point3(0,0,2.5), -40, 1.0, -8.0 ));
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ASSERT_EQ(-40, model.getRSSI(ap0, Point3(1,0,0)));
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ASSERT_EQ(-40, model.getRSSI(ap0, Point3(0,1,0)));
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ASSERT_EQ(-40, model.getRSSI(ap0, Point3(0,0,1)));
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ASSERT_EQ(-40, model.getRSSI(ap25, Point3(1,0,2.5)));
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ASSERT_EQ(-40, model.getRSSI(ap25, Point3(0,1,2.5)));
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ASSERT_EQ(-40-8, model.getRSSI(ap25, Point3(0,0,3.5))); // one floor within
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ASSERT_EQ(model.getRSSI(ap0, Point3(8,0,0)), model.getRSSI(ap0, Point3(0,8,0)));
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ASSERT_EQ(model.getRSSI(ap0, Point3(8,0,0)), model.getRSSI(ap0, Point3(0,0,8))+8+8); // two ceilings within
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}
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TEST(LogDistanceCeilingModel, numCeilings) {
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// dummy floorplan
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Floorplan::Floor* f0 = new Floorplan::Floor(); f0->atHeight = 0;
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Floorplan::Floor* f1 = new Floorplan::Floor(); f1->atHeight = 3;
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Floorplan::Floor* f2 = new Floorplan::Floor(); f2->atHeight = 7;
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Floorplan::IndoorMap map;
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map.floors.push_back(f0);
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map.floors.push_back(f1);
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map.floors.push_back(f2);
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WiFiModelLogDistCeiling model(&map);
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ASSERT_EQ(0, model.numCeilingsBetween(Point3(0,0,-1), Point3(0,0,0)) );
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ASSERT_EQ(0, model.numCeilingsBetween(Point3(0,0,0), Point3(0,0,-1)) );
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ASSERT_EQ(0, model.numCeilingsBetween(Point3(0,0,0), Point3(0,0,1)) );
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ASSERT_EQ(0, model.numCeilingsBetween(Point3(0,0,1), Point3(0,0,0)) );
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ASSERT_EQ(1, model.numCeilingsBetween(Point3(0,0,-0.01), Point3(0,0,+0.01)) );
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ASSERT_EQ(1, model.numCeilingsBetween(Point3(0,0,+0.01), Point3(0,0,-0.01)) );
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ASSERT_EQ(1, model.numCeilingsBetween(Point3(0,0,2.99), Point3(0,0,3.01)) );
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ASSERT_EQ(1, model.numCeilingsBetween(Point3(0,0,3.01), Point3(0,0,2.99)) );
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ASSERT_EQ(1, model.numCeilingsBetween(Point3(0,0,6.99), Point3(0,0,7.01)) );
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ASSERT_EQ(1, model.numCeilingsBetween(Point3(0,0,7.01), Point3(0,0,6.99)) );
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ASSERT_EQ(0, model.numCeilingsBetween(Point3(0,0,7.00), Point3(0,0,99)) );
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ASSERT_EQ(1, model.numCeilingsBetween(Point3(0,0,0), Point3(0,0,7)) );
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ASSERT_EQ(3, model.numCeilingsBetween(Point3(0,0,-1), Point3(0,0,8)) );
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}
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#endif
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