增加预安装供料器功能、路径规划模型支持单点、整线优化支持批量处理
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@ -66,7 +66,7 @@ def dynamic_programming_cycle_path(cycle_placement, cycle_points):
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return head_sequence
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def pickup_group_combination(component_nozzle, designated_nozzle, supply, supply_cycle, demand, demand_cycle):
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def pickup_group_combination(designated_nozzle, supply, supply_cycle, demand, demand_cycle):
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combination, combination_cycle = demand.copy(), demand_cycle.copy()
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supply_cpy = supply.copy()
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@ -101,6 +101,9 @@ def pickup_group_combination(component_nozzle, designated_nozzle, supply, supply
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combination_cycle[idx + max_match_offset] = supply_cycle[idx]
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supply_cpy[idx] = None
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if max_match_counter == 0:
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break
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return combination, combination_cycle
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@ -158,7 +161,7 @@ def cal_individual_val(component_nozzle, component_point_pos, designated_nozzle,
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if is_combinable:
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cost = cost - t0
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# combine sequenced pickup ρb and ps into ρu(union pickup)
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Pu, Pu_cycle = pickup_group_combination(component_nozzle, designated_nozzle, Ps, Ps_cycle, Pd, Pd_cycle)
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Pu, Pu_cycle = pickup_group_combination(designated_nozzle, Ps, Ps_cycle, Pd, Pd_cycle)
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# decide the placement cluster and sequencing of pickup ρu
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pickup_action_counter, place_action_counter = 0, max_head_index - Pu.count(None)
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