format

scripts/evaluate_mbm.py

@@ -17,7 +17,7 @@ def main(
     dataset: str = "problems.pkl",         # Pickled dataset to use
     problem: Union[str, List[str]] = [],   # Problem name or list of problems to evaluate
     trials: int = 1,                       # Number of trials to evaluate each instance
-    sampler_name: str = "halton",               # Sampler to use.
+    sampler_name: str = "halton",          # Sampler to use.
     skip_rng_iterations: int = 0,          # Skip a number of RNG iterations
     print_failures: bool = False,          # Print out failures and invalid problems
     pointcloud: bool = False,              # Use pointcloud rather than primitive geometry

scripts/sphere_cage_example.py

@@ -38,7 +38,7 @@ def main(
     radius: float = 0.2,
     visualize: bool = False,
     planner: str = "rrtc",
-    sampler_name: str = "halton",       # Sampler to use.
+    sampler_name: str = "halton",  # Sampler to use.
     skip_rng_iterations: int = 0,  # Skip a number of RNG iterations
     **kwargs,
     ):

src/impl/vamp/planning/simplify.hh

@@ -202,8 +202,10 @@ namespace vamp::planning
 
         const auto bspline = [&result, &environment, settings]()
         { return smooth_bspline<Robot, rake, resolution>(result.path, environment, settings.bspline); };
-        const auto reduce = [&result, &environment, settings, rng]()
-        { return reduce_path_vertices<Robot, rake, resolution>(result.path, environment, settings.reduce, rng); };
+        const auto reduce = [&result, &environment, settings, rng]() {
+            return reduce_path_vertices<Robot, rake, resolution>(
+                result.path, environment, settings.reduce, rng);
+        };
         const auto shortcut = [&result, &environment, settings]()
         { return shortcut_path<Robot, rake, resolution>(result.path, environment, settings.shortcut); };
         const auto perturb = [&result, &environment, settings, rng]()