check in python unit test for new functionality

python/gtsam/tests/test_ShonanAveraging.py

@@ -13,14 +13,25 @@
 import unittest
 
 import gtsam
-from gtsam import ShonanAveraging3, ShonanAveragingParameters3
+from gtsam import (
+    BetweenFactorPose2,
+    LevenbergMarquardtParams,
+    Rot2,
+    Pose2,
+    ShonanAveraging2,
+    ShonanAveragingParameters2,
+    ShonanAveraging3,
+    ShonanAveragingParameters3
+)
 from gtsam.utils.test_case import GtsamTestCase
 
 DEFAULT_PARAMS = ShonanAveragingParameters3(
     gtsam.LevenbergMarquardtParams.CeresDefaults())
 
 
-def fromExampleName(name: str, parameters=DEFAULT_PARAMS):
+def fromExampleName(
+    name: str, parameters: ShonanAveragingParameters3 = DEFAULT_PARAMS
+) -> ShonanAveraging3:
     g2oFile = gtsam.findExampleDataFile(name)
     return ShonanAveraging3(g2oFile, parameters)
 
@@ -133,6 +144,57 @@ def test_PriorWeights(self):
         self.assertAlmostEqual(3.0756, shonan.cost(initial), places=3)
         result, _lambdaMin = shonan.run(initial, 3, 3)
         self.assertAlmostEqual(0.0015, shonan.cost(result), places=3)
+
+    def test_constructorBetweenFactorPose2s(self) -> None:
+        """Check if ShonanAveraging2 constructor works when not initialized from g2o file."""
+        # map (i1,i2) pair to theta in degrees that parameterizes Rot2 object i2Ri1
+        i2Ri1_dict = {
+            (1, 2):  -43.86342,
+            (1, 5):  -135.06351,
+            (2, 4):  72.64527,
+            (3, 5):  117.75967,
+            (6, 7):  -31.73934,
+            (7, 10): 177.45901,
+            (6, 9):  -133.58713,
+            (7, 8):  -90.58668,
+            (0, 3):  127.02978,
+            (8, 10): -92.16361,
+            (4, 8):  51.63781,
+            (4, 6):  173.96384,
+            (4, 10): 139.59445,
+            (2, 3):  151.04022,
+            (3, 4):  -78.39495,
+            (1, 4):  28.78185,
+            (6, 8):  -122.32602,
+            (0, 2):  -24.01045,
+            (5, 7):  -53.93014,
+            (4, 5):  -163.84535,
+            (2, 5):  -91.20009,
+            (1, 3):  107.17680,
+            (7, 9):  -102.35615,
+            (0, 1):  19.85297,
+            (5, 8):  -144.51682,
+            (5, 6):  -22.19079,
+            (5, 10): -56.56016,
+        }
+        i2Ri1_dict = {(i1,i2): Rot2.fromDegrees(theta_deg) for (i1,i2), theta_deg in i2Ri1_dict.items()}
+        lm_params = LevenbergMarquardtParams.CeresDefaults()
+        shonan_params = ShonanAveragingParameters2(lm_params)
+        shonan_params.setUseHuber(False)
+        shonan_params.setCertifyOptimality(True)
+
+        noise_model = gtsam.noiseModel.Unit.Create(3)
+        between_factors = gtsam.BetweenFactorPose2s()
+        for (i1, i2), i2Ri1 in i2Ri1_dict.items():
+            i2Ti1 = Pose2(i2Ri1, np.zeros(2))
+            between_factors.append(BetweenFactorPose2(i2, i1, i2Ti1, noise_model))
+
+        obj = ShonanAveraging2(between_factors, shonan_params)
+        initial = obj.initializeRandomly()
+        result_values, _ = obj.run(initial, p_min, self._p_max)
+
+        for i in range(11):
+            wRi = result_values.atRot2(i)
 
 
 if __name__ == '__main__':