增加了HSMO整线优化方法，读取数据增加了供料器部分

base_optimizer/smopt_celldivision.py

@@ -33,7 +33,7 @@ def convert_cell_2_result(pcb_data, component_data, component_cell, population):
 
     wl = [0 for _ in range(max_head_index)]     # workload
 
-    e1, e2, e3 = 1, 0.5, 1. / 6
+    e1, e2, e3 = 1, 2, 1. / 6
 
     component_result, cycle_result, feeder_slot_result = [], [], []
     for index in population:
@@ -101,12 +101,16 @@ def optimizer_celldivision(pcb_data, component_data, hinter=True):
     golden_section = 0.618
 
     # 获取元件元胞
-    point_num = len(pcb_data)
-    component_cell = pd.DataFrame({'index': np.arange(len(component_data)), 'points': np.zeros(len(component_data), dtype=int)})
-    for point_cnt in range(point_num):
-        part = pcb_data.loc[point_cnt, 'part']
-        index = np.where(component_data['part'].values == part)
-        component_cell.loc[index[0], 'points'] += 1
+    feeder_num = sum(component_data['fdn'])
+    component_cell = pd.DataFrame({'index': np.arange(feeder_num), 'points': np.zeros(feeder_num, dtype=int)})
+    cell_index = 0
+    for part_index, data in component_data.iterrows():
+        total_points, division_points = data.points, math.ceil(data.points / data.fdn)
+        for _ in range(data.fdn):
+            component_cell.loc[cell_index, 'index'] = part_index
+            component_cell.loc[cell_index, 'points'] = min(division_points, total_points)
+            total_points -= division_points
+            cell_index += 1
     component_cell = component_cell[~component_cell['points'].isin([0])]
 
     # component_cell.sort_values(by = "points" , inplace = True, ascending = False)