diff --git a/env.py b/env.py
index d4102a2..a0707b0 100644
--- a/env.py
+++ b/env.py
@@ -6,7 +6,6 @@ import math
 from worker import WorkerAgent
 from firm import FirmAgent
 
-
 # plt.ion()
 
 
@@ -14,14 +13,16 @@ class Env(ap.Model):
     float_market_size: float
     # percent_rh: float
     percent_search: float
+
+    is_RH_ratio: float
+    is_FH_ratio: float
+
     n_worker: int
     n_firm: int
     e_revenue: float
 
-    # a_lst_worker: ap.AgentList[WorkerAgent]
-    # a_lst_firm: ap.AgentList[FirmAgent]
-    a_lst_worker: ap.AgentList
-    a_lst_firm: ap.AgentList
+    a_lst_worker: ap.AgentList[WorkerAgent]
+    a_lst_firm: ap.AgentList[FirmAgent]
 
     """
         Worker: Mean(s), Gini(s)
@@ -32,15 +33,17 @@ class Env(ap.Model):
     out_w_gini_salary: float
     out_f_avg_profit: float
     out_f_gini_profit: float
-    # out_w_percent_hired: float
-    out_f_avg_yield: float
+    out_w_percent_hired: float
 
+    def __init__(self, dct_all):
+        super().__init__()
 
-    def setup(self):
         # 工作人员、企业数量、搜寻企业数量赋值
-        self.n_worker = self.p.n_worker
-        self.n_firm = self.p.n_firm
-        self.percent_search = self.p.percent_search
+        self.n_worker = int(dct_all['n_worker'])
+        self.n_firm = int(dct_all['n_firm'])
+        self.percent_search = float(dct_all['percent_search'])
+        self.is_RH_ratio = float(dct_all['is_RH_ratio'])
+        self.is_FH_ratio = float(dct_all['is_FH_ratio'])
         # 工人、企业列表
         self.a_lst_worker = ap.AgentList(self)
         self.a_lst_firm = ap.AgentList(self)
@@ -49,15 +52,18 @@ class Env(ap.Model):
         # 在工人列表中添加工人
         for i in range(self.n_worker):
             # 初始化 worker agent，并把alpha属性传过去
-            w = WorkerAgent(self, self.p.alpha)
+            w = WorkerAgent(self, float(dct_all['alpha']))
             self.a_lst_worker.append(w)
 
         # 在企业列表中添加企业，放入一个is_RH_ratio, 即有多大比例的企业是属于RH类型的
         for i in range(self.n_firm):
             # 对于企业属性true or false 的判断， 影响到firm 板块下， self.s_IsRH = is_RH 语句的判断
-            f = FirmAgent(self, self.p.is_RH_ratio >= uniform(0, 1), self.p.is_FH_ratio >= uniform(0, 1))
+            f = FirmAgent(self, self.is_RH_ratio >= uniform(0, 1), self.is_FH_ratio >= uniform(0, 1))
             self.a_lst_firm.append(f)
 
+        self.running = True
+        self.t = 0
+
     def update_e_revenue(self):
         self.e_revenue += 0.01 * self.e_revenue
 
@@ -84,9 +90,9 @@ class Env(ap.Model):
         self.update()
 
         if self.t == 200:
-            self.stop()
-            # self.picture_out()
-        # pass
+            self.running = False
+        else:
+            self.t += 1
 
     def update(self):
         lst_salary = []
@@ -100,25 +106,21 @@ class Env(ap.Model):
         self.out_w_gini_salary = self.gini(lst_salary)
 
         lst_profit = []
-        lst_a_yield = []
         # n_w_firm = 0
         for f in self.a_lst_firm:
             lst_profit.append(f.s_profit)
-            lst_a_yield.append(f.s_a_yield)
             # if f.s_profit > 0:
             #     n_w_firm += 1
         n_firms = len(lst_profit)
         self.out_f_avg_profit = sum(lst_profit) / n_firms
         self.out_f_gini_profit = self.gini(lst_profit)
-        # self.out_w_percent_hired = n_hired / n_workers
-        self.out_f_avg_yield = sum(lst_a_yield) / n_firms
+        self.out_w_percent_hired = n_hired / n_workers
 
         self.record('out_w_avg_salary')
-        self.record('out_f_avg_yield')
         self.record('out_w_gini_salary')
         self.record('out_f_avg_profit')
         self.record('out_f_gini_profit')
-        # self.record('out_w_percent_hired')
+        self.record('out_w_percent_hired')
 
     def create_and_destroy_bankrupt_firms(self):
         for f in self.a_lst_firm:
@@ -132,7 +134,7 @@ class Env(ap.Model):
                     worker.working_firm = None
                 self.a_lst_firm.remove(f)
                 del f
-                new_f = FirmAgent(self, self.p.is_RH_ratio >= uniform(0, 1), self.p.is_FH_ratio >= uniform(0, 1))
+                new_f = FirmAgent(self, self.is_RH_ratio >= uniform(0, 1), self.is_FH_ratio >= uniform(0, 1))
                 self.a_lst_firm.append(new_f)
             else:
                 if f.s_profit < 0:
@@ -221,10 +223,10 @@ if __name__ == '__main__':
         'percent_search': 0.2,
         'is_RH_ratio': 0.5,
         'is_FH_ratio': 0.5,
-    }
+     }
     sample = ap.Sample(parameters)
     # sample = ap.Sample(parameters, n=3)
     #
     exp = ap.Experiment(Env, sample, iterations=10, record=True)
     results = exp.run()
-    results['variables']['Env'].to_excel('env_data.xlsx', engine='openpyxl')
+    results['variables']['Env'].to_excel('env_data.xlsx', engine='openpyxl')
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