diff --git a/grasshopper/planes_to_3dp_rapid_program.ghx b/grasshopper/planes_to_3dp_rapid_program.ghx index 84e6a03..c5b571c 100644 --- a/grasshopper/planes_to_3dp_rapid_program.ghx +++ b/grasshopper/planes_to_3dp_rapid_program.ghx @@ -49,10 +49,10 @@ - 78 - 81 + -1937 + -176 - 0.34666333 + 0.8038307 @@ -635,10 +635,9 @@ - + A panel for custom notes and text values a9ca12a0-8525-4755-835c-17419e394659 - true Panel false @@ -1885,9 +1884,11 @@ rapid = """MODULE fdm_print {} PROC print() {} - SetDO {}, 1; ! heater on - TPWrite "Press play when extruder is at right temperature"; - Stop; + IF RobOS() = TRUE THEN + SetDO {}, 1; ! heater on + TPWrite "Press play when extruder is at right temperature"; + Stop; + ENDIF {} ! First layer """.format(module_level_vars, @@ -1941,7 +1942,7 @@ ENDMODULE""".format(stepper_on, heater_on) - + 3146 182 @@ -1952,6 +1953,7 @@ ENDMODULE""".format(stepper_on, heater_on) 3261 244 + true @@ -1985,7 +1987,7 @@ ENDMODULE""".format(stepper_on, heater_on) - + 3148 184 @@ -1996,6 +1998,7 @@ ENDMODULE""".format(stepper_on, heater_on) 3198.5 194 + true @@ -2017,7 +2020,7 @@ ENDMODULE""".format(stepper_on, heater_on) - + 3148 204 @@ -2028,6 +2031,7 @@ ENDMODULE""".format(stepper_on, heater_on) 3198.5 214 + true @@ -2049,7 +2053,7 @@ ENDMODULE""".format(stepper_on, heater_on) - + 3148 224 @@ -2060,6 +2064,7 @@ ENDMODULE""".format(stepper_on, heater_on) 3198.5 234 + true @@ -2079,7 +2084,7 @@ ENDMODULE""".format(stepper_on, heater_on) - + 3148 244 @@ -2090,6 +2095,7 @@ ENDMODULE""".format(stepper_on, heater_on) 3198.5 254 + true @@ -2110,7 +2116,7 @@ ENDMODULE""".format(stepper_on, heater_on) - + 3148 264 @@ -2121,6 +2127,7 @@ ENDMODULE""".format(stepper_on, heater_on) 3198.5 274 + true @@ -2141,7 +2148,7 @@ ENDMODULE""".format(stepper_on, heater_on) - + 3148 284 @@ -2152,6 +2159,7 @@ ENDMODULE""".format(stepper_on, heater_on) 3198.5 294 + true @@ -2167,7 +2175,7 @@ ENDMODULE""".format(stepper_on, heater_on) - + 3276 184 @@ -2178,6 +2186,7 @@ ENDMODULE""".format(stepper_on, heater_on) 3293.5 214 + true @@ -2193,7 +2202,7 @@ ENDMODULE""".format(stepper_on, heater_on) - + 3276 244 @@ -2204,6 +2213,7 @@ ENDMODULE""".format(stepper_on, heater_on) 3293.5 274 + true @@ -6159,7 +6169,7 @@ layers = list_to_tree(layers, source=[]) true Script input first_n. 856e281e-8fc4-49f6-a36c-9b024b8a355f - y + first_n first_n true 0 @@ -6258,11 +6268,11 @@ layers = list_to_tree(layers, source=[]) 332.6346 - 2539.5972 + 2539.5964 332.6346 - 2539.5972 + 2539.5964 356.5726 @@ -6284,7 +6294,7 @@ layers = list_to_tree(layers, source=[]) 2185.2068 327.6346 - 359.39038 + 359.38965 33.93799 @@ -6382,16 +6392,16 @@ layers = list_to_tree(layers, source=[]) 363.4368 - 2075.5918 + 2075.59 363.4368 - 2075.5918 - 387.1061 + 2075.59 + 387.10623 1784.5623 - 387.1061 + 387.10623 A quick note Microsoft Sans Serif @@ -6408,8 +6418,8 @@ layers = list_to_tree(layers, source=[]) 1779.5623 358.4368 - 301.02954 - 33.66931 + 301.02783 + 33.669434 1784.5623 @@ -7027,7 +7037,7 @@ for layer, tp_layer in zip(plane_layers, tp_layers): Script output travel_lines. ca1f37d7-fe4d-443e-8b1a-30ef7fdaad7a - a + travel_lines travel_lines false 0 @@ -7062,7 +7072,7 @@ for layer, tp_layer in zip(plane_layers, tp_layers): - 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