diff --git a/grasshopper/planes_to_3dp_rapid_program.ghx b/grasshopper/planes_to_3dp_rapid_program.ghx
index 8bf1853..84e6a03 100644
--- a/grasshopper/planes_to_3dp_rapid_program.ghx
+++ b/grasshopper/planes_to_3dp_rapid_program.ghx
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+
+ - bc3e379e-7206-4e7b-b63a-ff61f4b38a3e
+ - Construct Plane
-
- - import Rhino.Geometry as rg
-
-EXT_AXES = "[9E9,9E9,9E9,9E9,9E9,9E9]"
-
-def rg_plane_to_posdata(plane):
- x, y, z = plane.Origin
-
- posdata = "[[{:.1f}, {:.1f}, {:.1f}],".format(x, y, z)
-
- q = rg.Quaternion.Rotation(rg.Plane.WorldXY, plane)
-
- posdata += "[{:.4f}, {:.4f}, {:.4f}, {:.4f}],".format(q.A, q.B, q.C, q.D)
- posdata += "[0,0,0,0],{}]".format(EXT_AXES)
-
- return posdata
-
-if wobj_name is None:
- wobj_name = "wobj0"
-if tool_name is None:
- tool_name = "tool0"
-
-if start_configuration is None:
- start_configuration = [0, 0, 0, 0, 0, 0]
-
-heater_on = "DO_1"
-stepper_on = "DO_10"
-
-if print_speed_value is None:
- print_speed_value = "s_printSpeed"
-
-TRAVEL_SPEED_VALUE = "v300"
-
-PRINT_SPEED_NAME = "s_printSpeed"
-TRAVEL_SPEED_NAME = "s_travelSpeed"
-
-module_level_vars = """VAR speeddata {}:={};
- VAR speeddata {}:={};
-""".format(PRINT_SPEED_NAME, print_speed_value, TRAVEL_SPEED_NAME, TRAVEL_SPEED_VALUE)
-
-
-main_proc = """PROC main()
- IF RobOS() = FALSE THEN
- {} := vmax; ! run at max speed in robotstudio
- {} := vmax;
- ENDIF
- print;
- ENDPROC
-""".format(TRAVEL_SPEED_NAME, PRINT_SPEED_NAME)
-
-extrude10sec_proc = """PROC Extrude10Sec ()
- SetDO {}, 1;
- SetDO\SDelay:=10, {}, 0;
- ENDPROC
-""".format(stepper_on, stepper_on)
-home_joint_pos = "[" + ",".join([str(c) for c in start_configuration]) + "]"
-
-move_abs_j_start = "MoveAbsJ [{}, {}], {}, fine, tool0;".format(home_joint_pos,EXT_AXES,TRAVEL_SPEED_NAME)
-move_j_start = "MoveJ {}, {}, fine, {}, \WObj:={};".format(rg_plane_to_posdata(planes[0]),
- TRAVEL_SPEED_NAME,
- tool_name,
- wobj_name)
-rapid = """MODULE fdm_print
- {}
- {}
- {}
- PROC print()
- {}
- SetDO {}, 1; ! heater on
- TPWrite "Press play when extruder is at right temperature";
- Stop;
- {}
-""".format(module_level_vars,
- extrude10sec_proc,
- main_proc,
- move_abs_j_start,
- heater_on,
- move_j_start)
-
-last_is_travel_pt = True
-for plane, tp in zip(planes, is_travel_point):
- new_lines = ""
- if tp:
- if not last_is_travel_pt:
- new_lines = " SetDO {}, 0; ! stepper on\n".format(stepper_on)
- speed = TRAVEL_SPEED_NAME
- else:
- if last_is_travel_pt:
- new_lines = " SetDO {}, 1; ! stepper off\n".format(stepper_on)
- speed = PRINT_SPEED_NAME
- posdata = rg_plane_to_posdata(plane)
- new_lines += " MoveL {}, {}, fine, {}, \WObj:={};".format(posdata, speed, tool_name, wobj_name)
-
- rapid += new_lines + "\n"
- last_is_travel_pt = tp
-
-rapid += """ SetDO {}, 0; ! stepper off
- SetDO {}, 0; ! heater off
- ENDPROC
-ENDMODULE""".format(stepper_on, heater_on)
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-
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- Flip or swap the axes of a plane
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@@ -1012,21 +628,22 @@ ENDMODULE""".format(stepper_on, heater_on)
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+ - Provides a list of preset values to choose from
+ - true
+ - 1e75d57f-b361-478c-ac1b-ff49594fff5b
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+ - 1
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+ - Value List
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+ - 410755b1-224a-4c1e-a407-bf32fb45ea7e
+ - 00000000-0000-0000-0000-000000000000
+ - GhPython Script
+
+
+
+
+ - import Rhino.Geometry as rg
+
+from ghpythonlib.treehelpers import tree_to_list
+
+
+
+EXT_AXES = "[9E9,9E9,9E9,9E9,9E9,9E9]"
+
+def rg_plane_to_posdata(plane):
+ x, y, z = plane.Origin
+
+ posdata = "[[{:.1f}, {:.1f}, {:.1f}],".format(x, y, z)
+
+ q = rg.Quaternion.Rotation(rg.Plane.WorldXY, plane)
+
+ posdata += "[{:.4f}, {:.4f}, {:.4f}, {:.4f}],".format(q.A, q.B, q.C, q.D)
+ posdata += "[0,0,0,0],{}]".format(EXT_AXES)
+
+ return posdata
+
+if wobj_name is None:
+ wobj_name = "wobj0"
+if tool_name is None:
+ tool_name = "tool0"
+
+if start_configuration is None:
+ start_configuration = [0, 0, 0, 0, 0, 0]
+
+heater_on = "DO_1"
+stepper_on = "DO_10"
+
+if print_speed_value is None:
+ print_speed_value = "s_printSpeed"
+
+TRAVEL_SPEED_VALUE = "v300"
+
+PRINT_SPEED_NAME = "s_printSpeed"
+TRAVEL_SPEED_NAME = "s_travelSpeed"
+
+module_level_vars = """VAR speeddata {}:={};
+ VAR speeddata {}:={};
+""".format(PRINT_SPEED_NAME, print_speed_value, TRAVEL_SPEED_NAME, TRAVEL_SPEED_VALUE)
+
+
+main_proc = """PROC main()
+ IF RobOS() = FALSE THEN
+ {} := vmax; ! run at max speed in robotstudio
+ {} := vmax;
+ ENDIF
+ print;
+ ENDPROC
+""".format(TRAVEL_SPEED_NAME, PRINT_SPEED_NAME)
+
+extrude10sec_proc = """PROC Extrude10Sec ()
+ SetDO {}, 1;
+ SetDO\SDelay:=10, {}, 0;
+ ENDPROC
+""".format(stepper_on, stepper_on)
+home_joint_pos = "[" + ",".join([str(c) for c in start_configuration]) + "]"
+
+layers = tree_to_list(planes, retrieve_base=None)
+is_travel_point_layers = tree_to_list(is_travel_point, retrieve_base=None)
+
+move_abs_j_start = "MoveAbsJ [{}, {}], {}, fine, tool0;".format(home_joint_pos,EXT_AXES,TRAVEL_SPEED_NAME)
+move_j_start = "MoveJ {}, {}, fine, {}, \WObj:={};".format(rg_plane_to_posdata(layers[0][0]),
+ TRAVEL_SPEED_NAME,
+ tool_name,
+ wobj_name)
+rapid = """MODULE fdm_print
+ {}
+ {}
+ {}
+ PROC print()
+ {}
+ SetDO {}, 1; ! heater on
+ TPWrite "Press play when extruder is at right temperature";
+ Stop;
+ {}
+ ! First layer
+""".format(module_level_vars,
+ extrude10sec_proc,
+ main_proc,
+ move_abs_j_start,
+ heater_on,
+ move_j_start)
+
+last_is_travel_pt = True
+for layer, is_travel_point_layer in zip(layers, is_travel_point_layers):
+ for plane, tp in zip(layer, is_travel_point_layer):
+ new_lines = ""
+ if tp:
+ if not last_is_travel_pt:
+ new_lines = " SetDO {}, 0; ! stepper off\n".format(stepper_on)
+ speed = TRAVEL_SPEED_NAME
+ else:
+ if last_is_travel_pt:
+ new_lines = " SetDO {}, 1; ! stepper on\n".format(stepper_on)
+ speed = PRINT_SPEED_NAME
+ posdata = rg_plane_to_posdata(plane)
+ new_lines += " MoveL {}, {}, fine, {}, \WObj:={};".format(posdata, speed, tool_name, wobj_name)
+
+ rapid += new_lines + "\n"
+ last_is_travel_pt = tp
+ rapid += " ! New layer \n"
+
+rapid += """ SetDO {}, 0; ! stepper off
+ SetDO {}, 0; ! heater off
+ ENDPROC
+ENDMODULE""".format(stepper_on, heater_on)
+ - GhPython provides a Python script component
+ -
+ 143
+ 189
+
+ -
+ 1116
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+
+ - true
+ - true
+ - false
+ - false
+ - 5ea3821b-c4dd-4403-8475-5845faaa9961
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+ - GhPython Script
+ - GhPython Script
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+
+
+
+
+ - 2
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+ - 00cc4126-2021-4cbd-b163-76fb014ee87f
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+
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+ - a4e8581f-2737-4629-a267-88bd8f4c5c22
+ - is_travel_point
+ - is_travel_point
+ - true
+ - 2
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+ - bace4957-4140-4f6e-ad25-47c23895bf4f
+ - start_configuration
+ - start_configuration
+ - true
+ - 1
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+ - tool_name
+ - tool_name
+ - true
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+ - wobj_name
+ - wobj_name
+ - true
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+
-
-
- - false
+
+
+
+
+ - true
+ - Script input print_speed_value.
+ - ad1742a1-a7f3-43b5-ba8d-f186c4fd1fed
+ - print_speed_value
+ - print_speed_value
+ - true
+ - 0
+ - true
+ - 1e75d57f-b361-478c-ac1b-ff49594fff5b
+ - 1
+ - 87f87f55-5b71-41f4-8aea-21d494016f81
+
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+ -
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+ -
+ 3198.5
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+
+
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+
+ - The execution information, as output and error streams
+ - 0fe097ff-5507-465e-a0eb-ae47bcb154ba
+ - out
+ - out
+ - false
+ - 0
+
+
+
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+
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+
+
+ - Script output rapid.
+ - a8a1c30e-2aee-4c19-98df-97ddb53a11e1
+ - rapid
+ - rapid
+ - false
+ - 0
+
+
+
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+
@@ -6034,113 +2214,7 @@ ENDMODULE""".format(stepper_on, heater_on)
-
-
- - 7f5c6c55-f846-4a08-9c9a-cfdc285cc6fe
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- 108.8164
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-
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+
- 410755b1-224a-4c1e-a407-bf32fb45ea7e
- 00000000-0000-0000-0000-000000000000
@@ -6148,23 +2222,29 @@ ENDMODULE""".format(stepper_on, heater_on)
-
- - if save:
- with open(filepath, mode="w") as fp:
- fp.write(contents)
+
+ - from ghpythonlib.treehelpers import tree_to_list, list_to_tree
+
+layers = tree_to_list(x, retrieve_base=False)
+
+for layer_idx in range(len(layers)):
+ layers[layer_idx][0] = True
+
+layers = list_to_tree(layers, source=[])
- GhPython provides a Python script component
-
- 160
- 160
+ 64
+ 64
-
741
702
+ - true
- true
- false
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-
-
- - 3cadddef-1e2b-4c09-9390-0e8f78f7609f
- - Merge
+
+
+ - 410755b1-224a-4c1e-a407-bf32fb45ea7e
+ - 00000000-0000-0000-0000-000000000000
+ - GhPython Script
-
- - Merge a bunch of data streams
- - ab38f130-a6fc-4113-9330-2550c79b04d0
- - Merge
- - Merge
+
+ - from ghpythonlib.treehelpers import tree_to_list, list_to_tree
+
+layers = tree_to_list(x, retrieve_base=False)
+
+# first point in every layer is travel point
+
+for idx in range(int(first_n)):
+ layers[0][idx] = True
+
+layers = list_to_tree(layers, source=[])
+ - GhPython provides a Python script component
+ -
+ -32000
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+
+ - true
+ - Script input first_n.
+ - 856e281e-8fc4-49f6-a36c-9b024b8a355f
+ - y
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+
+
+ - The execution information, as output and error streams
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+
- - 2
- - Result of merge
- - b2ec7627-4d18-47ab-9054-ff41582d03d4
- - Result
- - Result
+ - Script output layers.
+ - 9d7fdad9-f0c2-46d5-bc6d-bd5d6da30eb0
+ - layers
+ - layers
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+ - true
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@@ -6954,7 +6244,86 @@ ENDMODULE""".format(stepper_on, heater_on)
-
+
+
+ - 7f5c6c55-f846-4a08-9c9a-cfdc285cc6fe
+ - Scribble
+
+
+
+
+ - true
+ -
+ 2190.2068
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+ -
+ 2539.5972
+ 332.6346
+
+ -
+ 2539.5972
+ 356.5726
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+ -
+ 2190.2068
+ 356.5726
+
+ - A quick note
+ - Microsoft Sans Serif
+ - 438fe48d-b1e0-4394-bed5-f4438ddfe790
+ - false
+ - Scribble
+ - Scribble
+ - 25
+ - Set first point in layer to travel
+
+
+
+
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+ - Group
+
+
+
+
+ - 1
+ -
+ 150;170;135;255
+
+ - A group of Grasshopper objects
+ - ae4e1746-964f-4b63-ad5f-74362c818093
+ - 438fe48d-b1e0-4394-bed5-f4438ddfe790
+ - 2
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+ - Group
+
+
+
+
+
+
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+
+
- 57da07bd-ecab-415d-9d86-af36d7073abc
- Number Slider
@@ -6963,7 +6332,7 @@ ENDMODULE""".format(stepper_on, heater_on)
- Numeric slider for single values
- - 4524cda7-806f-4d09-8db1-2d72107797c4
+ - e0d49313-2cff-4606-b87d-20175a716569
- Number Slider
- Number Slider
- false
@@ -6973,14 +6342,14 @@ ENDMODULE""".format(stepper_on, heater_on)
-
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+ - Scribble
-
- - Numeric slider for single values
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+
+ - true
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+ - Microsoft Sans Serif
+ - 5bfc203c-6b96-4171-814f-a2d64ca3a3fa
+ - false
+ - Scribble
+ - Scribble
+ - 25
+ - Set first n points to travel
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+
+ - A group of Grasshopper objects
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+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
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+ - 2
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-
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- - b056b1ba-9f59-41b5-8511-76a0cee89699
- - Number Slider
- - Number Slider
- - false
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+
+ - import Rhino.Geometry as rg
+
+from ghpythonlib.treehelpers import list_to_tree, tree_to_list
+
+plane_layers = tree_to_list(planes,retrieve_base=None)
+tp_layers = tree_to_list(is_travel,retrieve_base=None)
+
+
+last_pt = rg.Point3d(0,0,0)
+
+print_lines = []
+travel_lines = []
+
+for layer, tp_layer in zip(plane_layers, tp_layers):
+ for plane, tp in zip(layer, tp_layer):
+ segment = rg.Line(last_pt, plane.Origin)
+ if tp:
+ travel_lines.append(segment)
+ else:
+ print_lines.append(segment)
+ last_pt = plane.Origin
+ - GhPython provides a Python script component
+ -
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+
+ - Script output travel_lines.
+ - ca1f37d7-fe4d-443e-8b1a-30ef7fdaad7a
+ - a
+ - travel_lines
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+
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+
@@ -7231,7 +7062,7 @@ ENDMODULE""".format(stepper_on, heater_on)
-
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