probe: Perform multi-sample averaging in ProbePointsHelper class

Now that all the callers of ProbePointsHelper take a cartesian
coordinate for the probe locations, it's possible to perform averaging
of multi-sample probes within the class.  This simplifies the callers.

Signed-off-by: Kevin O'Connor <kevin@koconnor.net>

1 files changed, 0 insertions, 15 deletions

diff --git a/klippy/extras/quad_gantry_level.py b/klippy/extras/quad_gantry_level.py
index 166ecdbf..9eb1810c 100644
--- a/klippy/extras/quad_gantry_level.py
+++ b/klippy/extras/quad_gantry_level.py
@@ -39,22 +39,7 @@ class QuadGantryLevel:
     cmd_QUAD_GANTRY_LEVEL_help = "Conform a moving, twistable gantry to the shape of a stationary bed"
     def cmd_QUAD_GANTRY_LEVEL(self, params):
         self.probe_helper.start_probe()
-    def squash_positions(self,positions):
-        # Group multi-probe data and average out the Z readings
-        # Assumes samples come in sequentially
-        grouped_pos = []
-        for position in positions:
-            if len(grouped_pos) > 0 and round(grouped_pos[-1][0],3) == round(position[0],3) and round(grouped_pos[-1][1],3) == round(position[1],3):
-                grouped_pos[-1][2].append(position[2])
-            else:
-                grouped_pos.append(position)
-                grouped_pos[-1][2] = [grouped_pos[-1][2]]
-        for id,pos in enumerate(grouped_pos):
-            grouped_pos[id][2] = sum(grouped_pos[id][2]) / len(grouped_pos[id][2])
-        return grouped_pos
     def probe_finalize(self, offsets, positions):
-        if len(positions) > 4:
-            positions = self.squash_positions(positions)
         logging.info("quad_gantry_level Calculating gantry geometry with: %s", positions)
         p1 = [positions[0][0] + offsets[0],positions[0][2]]
         p2 = [positions[1][0] + offsets[0],positions[1][2]]