Fixed print_ -> print

python/gtsam/examples/SimpleRotation.py

@@ -31,7 +31,7 @@ def main():
     - A measurement model with the correct dimensionality for the factor
     """
     prior = gtsam.Rot2.fromAngle(np.deg2rad(30))
-    prior.print_('goal angle')
+    prior.print('goal angle')
     model = gtsam.noiseModel.Isotropic.Sigma(dim=1, sigma=np.deg2rad(1))
     key = X(1)
     factor = gtsam.PriorFactorRot2(key, prior, model)
@@ -48,7 +48,7 @@ def main():
     """
     graph = gtsam.NonlinearFactorGraph()
     graph.push_back(factor)
-    graph.print_('full graph')
+    graph.print('full graph')
 
     """
     Step 3: Create an initial estimate
@@ -65,7 +65,7 @@ def main():
     """
     initial = gtsam.Values()
     initial.insert(key, gtsam.Rot2.fromAngle(np.deg2rad(20)))
-    initial.print_('initial estimate')
+    initial.print('initial estimate')
 
     """
     Step 4: Optimize
@@ -77,7 +77,7 @@ def main():
     with the final state of the optimization.
     """
     result = gtsam.LevenbergMarquardtOptimizer(graph, initial).optimize()
-    result.print_('final result')
+    result.print('final result')
 
 
 if __name__ == '__main__':

python/gtsam/examples/VisualISAMExample.py

@@ -10,8 +10,6 @@ A visualSLAM example for the structure-from-motion problem on a simulated datase
 This version uses iSAM to solve the problem incrementally
 """
 
-from __future__ import print_function
-
 import numpy as np
 import gtsam
 from gtsam.examples import SFMdata
@@ -94,7 +92,7 @@ def main():
             current_estimate = isam.estimate()
             print('*' * 50)
             print('Frame {}:'.format(i))
-            current_estimate.print_('Current estimate: ')
+            current_estimate.print('Current estimate: ')
 
             # Clear the factor graph and values for the next iteration
             graph.resize(0)

python/gtsam/utils/visual_data_generator.py

@@ -36,7 +36,7 @@ class GroundTruth:
         self.cameras = [Pose3()] * nrCameras
         self.points = [Point3(0, 0, 0)] * nrPoints
 
-    def print_(self, s="") -> None:
+    def print(self, s="") -> None:
         print(s)
         print("K = ", self.K)
         print("Cameras: ", len(self.cameras))